PURPOSE:
Serve as the subject matter expert for PeopleSoft financial modules and responsible for analyzing and providing solution development, operational and project support to empower business users and support future upgrades. You will leverage deep business process knowledge and functional experience with PeopleSoft financial modules to drive continuous improvement and process simplification – The analyst partners with key stakeholders in order to understand business needs and formulate solutions using Peoplesoft Oracle application features and industry best practices.
ESSENTIAL FUNCTIONS:
This list is ILLUSTRATIVE ONLY, and is not a comprehensive listing of all functions and duties performed. Essential duties and responsibilities may include, but are not limited to, the following:
Systems Administration:
Elicit, perform and develop system/process requirements, functional specifications, system configuration, system testing, solutions documentation, and partner with IT on customizations development.
Evaluate and provide meaningful data to improve the organizations decision-making capabilities. Build business cases for new technology projects from AFR leadership that include alternative technical solutions, options, risks, cost-benefit analysis, and impact on other business processes.
Manage quality assurance by developing and implementing test strategy, test scenarios and test cases followed by executing the tests, debugging and documenting results. Facilitate learning and development workshops with Port business partners related to change management of new systems and/or business processes.
Provide advanced information retrieval and complex query development, ensuring the validity of the information produced.
Define PeopleSoft user roles and responsibilities, then correlate or translate user roles and responsibilities to system access, permissions and profiles ensuring separation of duty is present and maintained.
Project Leadership and Support:
Create and implement project plan and facilitate execution. Determine the appropriate time to make advancement on projects and move on to next stages. Assist in the enforcement of project deadlines and schedules.
Clarify the duties, roles and functions of team members between both prospective competing team members and their superiors.
Ensure alignment with business sponsor, stakeholders, and senior leadership.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements and deliver the needed artifacts (i.e., functional requirements, business requirements document, use cases, screen and interface designs).
Work directly with and serve as the liaison between business units, technology teams, development team and support teams.
C ontinuous Process Improvement & Lean Culture Adoption:
Shape a culture of innovation within and beyond the AFR Department in which people collaborating come up with new ideas, methods, and processes to increase productivity, improve efficiency and reduce costs.
Evaluate current systems, policies and processes to identify opportunities to best optimize resources by eliminating redundancies and by increasing automation and system functionality.
Ensure all processes and operations are necessary, clearly defined, and efficiently designed to align people, systems, and policies.
Key Liaison with Business Partners on Technology:
Collaborate with developers and subject matter experts to establish the technical vision and analyze trade-offs between usability and performance needs.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Share, educate, and connect knowledge with the appropriate audiences.
KNOWLEDGE, SKILLS & ABILITIES:
Knowledge and expertise implementing, upgrading and using PeopleSoft Financials and HCM including advanced ad-hoc query development and strong functional knowledge of system security roles and set-up. General understanding of Accounting and Generally Accepted Accounting Principles (GAAP) and a strong understanding of internal controls and systems/operational risk assessment and mitigation. Able to define sound and functional process controls and incorporate them into Port Accounting/Financial systems and business processes. Advanced, broad technical expertise in PeopleSoft Financials and HCM and in troubleshooting cross-module system issues, requiring knowledge of system configuration, as well as Accounting functions and business processes including the interrelationships and interdependencies between each of the modules. Skilled at structured analysis techniques, issue management, risk analysis and mitigation, recognizing and mitigating sensitive project issues, problem solving, conceptual and logical thinking. Strong oral, business and technical writing skills that allow for facilitation of meetings, presentations and requirements gathering sessions. Excellent teamwork and interpersonal skills that establish rapport, persuade cross-functional business partners at all organizational levels, assist in understanding of technical information, and resolve conflicts in a positive manner. Ability to evaluate information gathered from multiple sources, reconcile conflicting information, breakdown high-level information into details and differentiate user requests from the underlying true needs. Able to understand business strategy and translate into specific details. Able to mentor business partners to accept change and use new technology. Ability to lead and negotiate business solutions that balance technical capability, cost, and time, against business need. Ability to work independently with users to define concepts, under direction of project managers is required. Ability to communicate difficult or sensitive information tactfully. Ability to challenge the status quo and facilitate different perspectives to drive solutions in the support of business results.
QUALIFICATIONS:
Combination of education and experience demonstrative knowledge, skills and abilities equivalent to:
Bachelor’s degree in Accounting, Business Administration or related field; and
Eight (8) years of experience with automated financial and accounting system; and
Four (4) years of experience in each of the following: Business process analysis and improvement; and project management for medium to large technology and business process optimization projects; and
Two (2) years of experience developing and conducting training classes and developing training materials.
PREFERRED QUALIFICATIONS:
PMP; CPA or CBAP; and
Six Sigma or Lean Practitioner Certification;
Experience with Business Intelligence and data mining tools such as Tableau.
EEO Statement
The Port of Seattle is an equal opportunity and affirmative action employer that values diverse perspectives and life experiences. We encourages people of all backgrounds to apply, knowing decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law, regulations and ordinances.
Feb 20, 2020
Full-time
PURPOSE:
Serve as the subject matter expert for PeopleSoft financial modules and responsible for analyzing and providing solution development, operational and project support to empower business users and support future upgrades. You will leverage deep business process knowledge and functional experience with PeopleSoft financial modules to drive continuous improvement and process simplification – The analyst partners with key stakeholders in order to understand business needs and formulate solutions using Peoplesoft Oracle application features and industry best practices.
ESSENTIAL FUNCTIONS:
This list is ILLUSTRATIVE ONLY, and is not a comprehensive listing of all functions and duties performed. Essential duties and responsibilities may include, but are not limited to, the following:
Systems Administration:
Elicit, perform and develop system/process requirements, functional specifications, system configuration, system testing, solutions documentation, and partner with IT on customizations development.
Evaluate and provide meaningful data to improve the organizations decision-making capabilities. Build business cases for new technology projects from AFR leadership that include alternative technical solutions, options, risks, cost-benefit analysis, and impact on other business processes.
Manage quality assurance by developing and implementing test strategy, test scenarios and test cases followed by executing the tests, debugging and documenting results. Facilitate learning and development workshops with Port business partners related to change management of new systems and/or business processes.
Provide advanced information retrieval and complex query development, ensuring the validity of the information produced.
Define PeopleSoft user roles and responsibilities, then correlate or translate user roles and responsibilities to system access, permissions and profiles ensuring separation of duty is present and maintained.
Project Leadership and Support:
Create and implement project plan and facilitate execution. Determine the appropriate time to make advancement on projects and move on to next stages. Assist in the enforcement of project deadlines and schedules.
Clarify the duties, roles and functions of team members between both prospective competing team members and their superiors.
Ensure alignment with business sponsor, stakeholders, and senior leadership.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Proactively communicate and collaborate with external and internal customers to analyze information needs and functional requirements and deliver the needed artifacts (i.e., functional requirements, business requirements document, use cases, screen and interface designs).
Work directly with and serve as the liaison between business units, technology teams, development team and support teams.
C ontinuous Process Improvement & Lean Culture Adoption:
Shape a culture of innovation within and beyond the AFR Department in which people collaborating come up with new ideas, methods, and processes to increase productivity, improve efficiency and reduce costs.
Evaluate current systems, policies and processes to identify opportunities to best optimize resources by eliminating redundancies and by increasing automation and system functionality.
Ensure all processes and operations are necessary, clearly defined, and efficiently designed to align people, systems, and policies.
Key Liaison with Business Partners on Technology:
Collaborate with developers and subject matter experts to establish the technical vision and analyze trade-offs between usability and performance needs.
Interface with staff developing strategy as technical advisor for new functionality from applications, releases, and upgrades.
Share, educate, and connect knowledge with the appropriate audiences.
KNOWLEDGE, SKILLS & ABILITIES:
Knowledge and expertise implementing, upgrading and using PeopleSoft Financials and HCM including advanced ad-hoc query development and strong functional knowledge of system security roles and set-up. General understanding of Accounting and Generally Accepted Accounting Principles (GAAP) and a strong understanding of internal controls and systems/operational risk assessment and mitigation. Able to define sound and functional process controls and incorporate them into Port Accounting/Financial systems and business processes. Advanced, broad technical expertise in PeopleSoft Financials and HCM and in troubleshooting cross-module system issues, requiring knowledge of system configuration, as well as Accounting functions and business processes including the interrelationships and interdependencies between each of the modules. Skilled at structured analysis techniques, issue management, risk analysis and mitigation, recognizing and mitigating sensitive project issues, problem solving, conceptual and logical thinking. Strong oral, business and technical writing skills that allow for facilitation of meetings, presentations and requirements gathering sessions. Excellent teamwork and interpersonal skills that establish rapport, persuade cross-functional business partners at all organizational levels, assist in understanding of technical information, and resolve conflicts in a positive manner. Ability to evaluate information gathered from multiple sources, reconcile conflicting information, breakdown high-level information into details and differentiate user requests from the underlying true needs. Able to understand business strategy and translate into specific details. Able to mentor business partners to accept change and use new technology. Ability to lead and negotiate business solutions that balance technical capability, cost, and time, against business need. Ability to work independently with users to define concepts, under direction of project managers is required. Ability to communicate difficult or sensitive information tactfully. Ability to challenge the status quo and facilitate different perspectives to drive solutions in the support of business results.
QUALIFICATIONS:
Combination of education and experience demonstrative knowledge, skills and abilities equivalent to:
Bachelor’s degree in Accounting, Business Administration or related field; and
Eight (8) years of experience with automated financial and accounting system; and
Four (4) years of experience in each of the following: Business process analysis and improvement; and project management for medium to large technology and business process optimization projects; and
Two (2) years of experience developing and conducting training classes and developing training materials.
PREFERRED QUALIFICATIONS:
PMP; CPA or CBAP; and
Six Sigma or Lean Practitioner Certification;
Experience with Business Intelligence and data mining tools such as Tableau.
EEO Statement
The Port of Seattle is an equal opportunity and affirmative action employer that values diverse perspectives and life experiences. We encourages people of all backgrounds to apply, knowing decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law, regulations and ordinances.
We’re passionate about food and driven by data.
Do you want to impact our future through data, analytics and innovative technology? Do you thrive on leading big things and making it happen? Bring your passion, expertise and problem-solving skills to the table and make an impact.
General Mills is reshaping the future, and technology & data play an important role for us. Your technology experience will help us get the right data and solutions at the right time, every time. As one of the world’s leading food companies, General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, LÄRABAR, Pillsbury, Yoplait, Annie’s Homegrown, Totino’s, Epic Provisions and Blue Buffalo.
WHAT YOU’LL DO:
AI Governance aims to realize organizational value through focusing on effective and efficient analytic process to build & usage of analytic capabilities & solutions. It focuses on the process of consuming & deriving insights from data rather than the creation and storage of data. The AI Governance role drives discovery, execution and standards around operational analytic governance.
The AI governance role will provide leadership, strategic decision making and guidance within analytic governance included partnering with the technical executional resource to understand and solve unique and complex problems as well as partnering with the broader organization to ensure best practice sharing & adherence of standards.
You will interface with the Global Data Governance organization to ensure consistency across Data & Analytic Governance where applicable as well as have a stance on the appropriate technologies to support Analytic Governance to realize our technical & commercial teams’ needs.
In this role, you will:
Design end to end analytic framework, including overall architecture, capabilities, platforms, tools & governing processes
Establish & define metrics around gauging analytic health of organization
Consult & communicate positioning/go-forward strategies for analytic governance tools/capabilities
Communicate governance standards & framework to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc.
Define/improve governance best practices, guidelines & integration with enterprise solutions
Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines
Monitor technology trends & participates in discovery of any new tools/capabilities of interest
Benchmark Analytic Governance with Industry analysts and other companies
Lead Analytic Governance committee/steering team to ensure cross-functional exposure & adherence
WHO YOU ARE:
Bachelor’s degree
10 years demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions
5 or more years in an Analytic Governance role process-mapping, detailed frameworks, best practices and governance guidelines
A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating roadmaps & process diagrams
Hands-on experience working with enterprise scale data projects including Big Data, Data Science & BI Reporting
Experience in Agile Development, with specific Solution Architect preferred (understanding of end-to-end implementation of a technology Solution)
Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution
Strong communication skills with ability to communicate complex technical concepts in a digestible way
Ability to effortlessly switch gears from summary view for leadership to hands-on discussion with practitioners
WHAT’S NICE TO HAVE:
Cloud analytics platform experience preferred
Six sigma certification preferred
Jan 27, 2020
Full-time
We’re passionate about food and driven by data.
Do you want to impact our future through data, analytics and innovative technology? Do you thrive on leading big things and making it happen? Bring your passion, expertise and problem-solving skills to the table and make an impact.
General Mills is reshaping the future, and technology & data play an important role for us. Your technology experience will help us get the right data and solutions at the right time, every time. As one of the world’s leading food companies, General Mills operates across the globe with more than 100 recognizable consumer brands, including: Cheerios, LÄRABAR, Pillsbury, Yoplait, Annie’s Homegrown, Totino’s, Epic Provisions and Blue Buffalo.
WHAT YOU’LL DO:
AI Governance aims to realize organizational value through focusing on effective and efficient analytic process to build & usage of analytic capabilities & solutions. It focuses on the process of consuming & deriving insights from data rather than the creation and storage of data. The AI Governance role drives discovery, execution and standards around operational analytic governance.
The AI governance role will provide leadership, strategic decision making and guidance within analytic governance included partnering with the technical executional resource to understand and solve unique and complex problems as well as partnering with the broader organization to ensure best practice sharing & adherence of standards.
You will interface with the Global Data Governance organization to ensure consistency across Data & Analytic Governance where applicable as well as have a stance on the appropriate technologies to support Analytic Governance to realize our technical & commercial teams’ needs.
In this role, you will:
Design end to end analytic framework, including overall architecture, capabilities, platforms, tools & governing processes
Establish & define metrics around gauging analytic health of organization
Consult & communicate positioning/go-forward strategies for analytic governance tools/capabilities
Communicate governance standards & framework to ensure alignment to enterprise guidelines for security, auditability, data governance, metadata management, etc.
Define/improve governance best practices, guidelines & integration with enterprise solutions
Review analytic solutions for re-usability, scalability, synergy opportunities & alignment to defined best practices & guidelines
Monitor technology trends & participates in discovery of any new tools/capabilities of interest
Benchmark Analytic Governance with Industry analysts and other companies
Lead Analytic Governance committee/steering team to ensure cross-functional exposure & adherence
WHO YOU ARE:
Bachelor’s degree
10 years demonstrating a high degree of proficiency in designing and developing complex, high-quality analytic solutions
5 or more years in an Analytic Governance role process-mapping, detailed frameworks, best practices and governance guidelines
A proven track record of delivering scalable, resource intensive, integrated and operational analytic solution; Experience creating roadmaps & process diagrams
Hands-on experience working with enterprise scale data projects including Big Data, Data Science & BI Reporting
Experience in Agile Development, with specific Solution Architect preferred (understanding of end-to-end implementation of a technology Solution)
Ability to phase the delivery of analytic solutions such that it can meet immediate needs, while building towards the long-term strategic solution
Strong communication skills with ability to communicate complex technical concepts in a digestible way
Ability to effortlessly switch gears from summary view for leadership to hands-on discussion with practitioners
WHAT’S NICE TO HAVE:
Cloud analytics platform experience preferred
Six sigma certification preferred
WHAT YOU’LL DO
As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise.
This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
In this role you will:
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Solve complex data problems to deliver insights that helps our business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team
Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
WHO YOU ARE
Bachelor’s Degree
5 years of experience working in data engineering or architecture role
Expertise in SQL and data analysis and experience with at least one programming language
Experience developing and maintaining data warehouses in big data solutions
Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka
Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Passion for agile software processes, data-driven development, reliability, and experimentation
Experience working on a collaborative agile product team
Excellent communication, listening, and influencing skills
WHAT’S NICE TO HAVE
Bachelor’s degree in Computer Science, MIS, or Engineering
7+ years applicable work experience
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
Experience in Python or Scala
Big Data development experience using Hive, Impala, Spark and familiarity with Kafka
Familiarity with the Linux operating system
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
Knowledge of Data Preparation, Data Wrangling, and Feature Engineering
Jan 26, 2020
Full-time
WHAT YOU’LL DO
As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise.
This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.
In this role you will:
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
Solve complex data problems to deliver insights that helps our business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team
Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
WHO YOU ARE
Bachelor’s Degree
5 years of experience working in data engineering or architecture role
Expertise in SQL and data analysis and experience with at least one programming language
Experience developing and maintaining data warehouses in big data solutions
Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka
Experience working with BI tools such as Tableau, Power BI, Looker, Shiny
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Passion for agile software processes, data-driven development, reliability, and experimentation
Experience working on a collaborative agile product team
Excellent communication, listening, and influencing skills
WHAT’S NICE TO HAVE
Bachelor’s degree in Computer Science, MIS, or Engineering
7+ years applicable work experience
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space
Experience in Python or Scala
Big Data development experience using Hive, Impala, Spark and familiarity with Kafka
Familiarity with the Linux operating system
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase
Knowledge of Data Preparation, Data Wrangling, and Feature Engineering
WHAT YOU’LL DO:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services.
You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.
In this role, you will:
collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach
advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature
lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
engineer new features by using your business acumen to find new ways to combine disparate data sources
love to collaborate, coach and learn with a growing team of experienced Data Scientists
stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
Bias for action, with the ability to deliver outstanding results through task prioritization and time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
Jan 26, 2020
Full-time
WHAT YOU’LL DO:
To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time.
As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services.
You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.
In this role, you will:
collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach
advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature
lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers
engineer new features by using your business acumen to find new ways to combine disparate data sources
love to collaborate, coach and learn with a growing team of experienced Data Scientists
stay connected with external sources of ideas through conferences and community engagements
WHO YOU ARE:
Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience
Must have Python or R proficiency working with DataFrames
Must have proficiency writing complex SQL queries
Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
Bias for action, with the ability to deliver outstanding results through task prioritization and time management
WHAT’S NICE TO HAVE:
Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization
Experience with supporting deployment, monitoring, maintenance and enhancement of models
Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
WHAT YOU’LL DO
Play a leadership role in the Big Data space by designing and executing sustainable data pipelines and leading the team through technical uncertainty as necessary.
RESPONSIBILITIES
Act as a key Data & Analytics technical leader within General Mills
Collaboratively develop the technology & capability roadmap for the General Mills big data ecosystem
Lead the design and implementation of sustainable tools & processes to support the big data ecosystem
Generate and implement your own ideas on how to improve the operational and strategic health of big data ecosystem
Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space.
Develop communication & education plans for technical teams on technologies and processes in our big data ecosystem
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Collaboratively troubleshoot technical and performance issues in the big data ecosystem
WHO YOU ARE
High School Diploma
Minimum 5 years of IT experience required
1 year of hands-on experience with the technologies in the Hadoop ecosystem
Experience working directly with business clients to design a solution that meets business requirements; ability to clearly articulate pros and cons of various technologies and platforms and architectural options, as well as being able to document use cases, solutions and recommendations.
Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Database development experience using Oracle, SQL Server, SAP BW or SAP HANA
Big Data Development experience using Hive and/or Spark
Effective verbal and written communication and influencing skills.
Effective analytical and technical skills.
Ability to work in a team environment
Ability to research, plan, organize, lead, and implement new processes or technology
WHAT’S NICE TO HAVE
Bachelor’s Degree preferred; Computer Science, MIS, or Engineering
7+ years of IT experience preferred
Python, Scala or Java development experience
Familiarity with Kafka
Familiarity with the Linux operating system
Experience with agile techniques or method
Jan 02, 2020
Full-time
WHAT YOU’LL DO
Play a leadership role in the Big Data space by designing and executing sustainable data pipelines and leading the team through technical uncertainty as necessary.
RESPONSIBILITIES
Act as a key Data & Analytics technical leader within General Mills
Collaboratively develop the technology & capability roadmap for the General Mills big data ecosystem
Lead the design and implementation of sustainable tools & processes to support the big data ecosystem
Generate and implement your own ideas on how to improve the operational and strategic health of big data ecosystem
Participate in the evaluation, implementation and deployment of emerging tools & process in the big data space.
Develop communication & education plans for technical teams on technologies and processes in our big data ecosystem
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
Collaboratively troubleshoot technical and performance issues in the big data ecosystem
WHO YOU ARE
High School Diploma
Minimum 5 years of IT experience required
1 year of hands-on experience with the technologies in the Hadoop ecosystem
Experience working directly with business clients to design a solution that meets business requirements; ability to clearly articulate pros and cons of various technologies and platforms and architectural options, as well as being able to document use cases, solutions and recommendations.
Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Database development experience using Oracle, SQL Server, SAP BW or SAP HANA
Big Data Development experience using Hive and/or Spark
Effective verbal and written communication and influencing skills.
Effective analytical and technical skills.
Ability to work in a team environment
Ability to research, plan, organize, lead, and implement new processes or technology
WHAT’S NICE TO HAVE
Bachelor’s Degree preferred; Computer Science, MIS, or Engineering
7+ years of IT experience preferred
Python, Scala or Java development experience
Familiarity with Kafka
Familiarity with the Linux operating system
Experience with agile techniques or method
