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Sr Data Analyst
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Description:
Position: Senior Data Analyst
Team: Finance Business Intelligence, Transformation & Strategy
Placement Type: 12 month contract, opportunity to extend or convert to FTE
Worksite Location: Hybrid (Mon-Thu onsite, Fridays remote)
WHO ARE WE LOOKING FOR?
You are self-motivated and data curious - especially about how data can be used to optimize business opportunities. You will employ various analytical techniques to solve complex problems, drive scalable data architecture, and deliver data products to enhance decision making across Finance functions. The successful candidate has the ability to lead large scale analytics projects requiring minimal direction, is highly proficient in SQL, has good communication skills, and takes the initiative to explore and tackle problems.
WHAT WILL YOU WORK ON?
The ideal candidate will be working within the Finance Business Intelligence organization. They will be a part of an empowered, highly-capable team collaborating with Global Business Planning, Revenue and Gross Margin, SG&A, and Geo Finance Business Intelligence teams to deliver data products that support partner business priorities. They will be researching, analyzing and implementing scalable data product solutions that power analytics across the enterprise.
As a Lead Data Analyst you will:
Lead development and execution of reporting and analytics products across a focused area of the business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals.
Translate complex business problem statements into analysis requirements and work with internal customers to define data product details based on expressed partner needs.
Develop SQL queries to fulfill ad-hoc analysis requests and ongoing reporting needs.
Thoroughly document business requirements, data architecture solutions, business processes and training material for business and technical audiences.
Develop frameworks for repeatable validation of data integrity within data products that support accurate and consistent reporting.
Serve as domain specialist on data and business processes within your area of focus and find solutions to operational or data issues in the data pipelines.
WHAT YOU WILL BRING?
Bachelor's degree in Business, Finance, Economics, Marketing or a related field, or demonstrated industry experience.
6+ years of relevant work experience in omnichannel/digital commerce, reporting and analytics, or supply chain.
Advanced proficiency in SQL ie. Joining multiple data sets across different data grains, query optimization, pivoting data.
Proficiency with cloud environments such as Snowflake, Databricks, and AWS
Deep experience analyzing large structured and unstructured datasets
Experience with data visualization and dashboarding techniques to make complex data more accessible, understandable, and usable to drive business decisions and outcomes (e.g., Tableau, Cognos, PowerBI, Python/R libraries, or similar tools)
Demonstrable ability to integrate with partners to form a deep understanding of their business needs. History of partnering multi-functionally to develop data and reporting solutions for broad use.
Experience with all steps of the analytic process from requirements capturing, solution design, QA, debugging, and documentation. Extensive experience in data profiling, data quality, and root cause analysis.
Extensive experience translating business objectives and questions into data architecture, KPIs, and reporting requirements.
Extensive experience in data architecture, defining and maintaining data assets, and developing data architecture strategies to support reporting and data visualization tools.
Clear capability in communicating analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form.
Skills:
SSQL, Data analysis, Analysis, ETL, Business intelligence, Agile, enterprise performance management, EPM, Finance
Additional Skills & Qualifications:
Soft Skills: must be a proactive self-starter, someone that readily creates and share best practices, ability to create structure out of ambiguity, can't be a task-taker.
Experience Level:
Expert Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Position: Senior Data Analyst
Team: Finance Business Intelligence, Transformation & Strategy
Placement Type: 12 month contract, opportunity to extend or convert to FTE
Worksite Location: Hybrid (Mon-Thu onsite, Fridays remote)
WHO ARE WE LOOKING FOR?
You are self-motivated and data curious - especially about how data can be used to optimize business opportunities. You will employ various analytical techniques to solve complex problems, drive scalable data architecture, and deliver data products to enhance decision making across Finance functions. The successful candidate has the ability to lead large scale analytics projects requiring minimal direction, is highly proficient in SQL, has good communication skills, and takes the initiative to explore and tackle problems.
WHAT WILL YOU WORK ON?
The ideal candidate will be working within the Finance Business Intelligence organization. They will be a part of an empowered, highly-capable team collaborating with Global Business Planning, Revenue and Gross Margin, SG&A, and Geo Finance Business Intelligence teams to deliver data products that support partner business priorities. They will be researching, analyzing and implementing scalable data product solutions that power analytics across the enterprise.
As a Lead Data Analyst you will:
Lead development and execution of reporting and analytics products across a focused area of the business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals.
Translate complex business problem statements into analysis requirements and work with internal customers to define data product details based on expressed partner needs.
Develop SQL queries to fulfill ad-hoc analysis requests and ongoing reporting needs.
Thoroughly document business requirements, data architecture solutions, business processes and training material for business and technical audiences.
Develop frameworks for repeatable validation of data integrity within data products that support accurate and consistent reporting.
Serve as domain specialist on data and business processes within your area of focus and find solutions to operational or data issues in the data pipelines.
WHAT YOU WILL BRING?
Bachelor's degree in Business, Finance, Economics, Marketing or a related field, or demonstrated industry experience.
6+ years of relevant work experience in omnichannel/digital commerce, reporting and analytics, or supply chain.
Advanced proficiency in SQL ie. Joining multiple data sets across different data grains, query optimization, pivoting data.
Proficiency with cloud environments such as Snowflake, Databricks, and AWS
Deep experience analyzing large structured and unstructured datasets
Experience with data visualization and dashboarding techniques to make complex data more accessible, understandable, and usable to drive business decisions and outcomes (e.g., Tableau, Cognos, PowerBI, Python/R libraries, or similar tools)
Demonstrable ability to integrate with partners to form a deep understanding of their business needs. History of partnering multi-functionally to develop data and reporting solutions for broad use.
Experience with all steps of the analytic process from requirements capturing, solution design, QA, debugging, and documentation. Extensive experience in data profiling, data quality, and root cause analysis.
Extensive experience translating business objectives and questions into data architecture, KPIs, and reporting requirements.
Extensive experience in data architecture, defining and maintaining data assets, and developing data architecture strategies to support reporting and data visualization tools.
Clear capability in communicating analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form.
Skills:
SSQL, Data analysis, Analysis, ETL, Business intelligence, Agile, enterprise performance management, EPM, Finance
Additional Skills & Qualifications:
Soft Skills: must be a proactive self-starter, someone that readily creates and share best practices, ability to create structure out of ambiguity, can't be a task-taker.
Experience Level:
Expert Level
About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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