Senior Data Analyst

Stable Kernel • Atlanta, GA

5d • Hybrid

About The Position

Stable Kernel’s Senior Data Analyst aggregates and analyzes client data to derive insights and recommendations for business optimization, communicating findings to clients and supporting teams. The role works with client product owners to assess whether innovative projects operate as intended and solve business problems. On data migration engagements, the analyst partners with data engineers to validate and specify the migration of reporting and data assets to modern cloud platforms. The position reports directly to the Director of Data Strategy.

The role provides technical and strategic leadership across analytics initiatives, including designing measurement frameworks, developing analytics strategies, recommending tools and platforms, creating reusable workflows, and incorporating data considerations into product and strategy discussions. It aligns analytics work with client business goals, helps define and estimate projects, identifies growth opportunities, and supports statements of work.

The Senior Data Analyst advises clients and senior stakeholders, leads discovery and problem-solving sessions, and guides data-led product roadmaps and decisions. The role also mentors colleagues, improves team processes, leads best practices and learning, and represents the team in client discussions.

For data migrations, responsibilities include assessing existing reporting and data assets, confirming ownership and use, reverse-engineering and documenting business logic, proving parity between legacy and target environments, running reconciliation checks, supporting parallel reporting runs, and partnering with product owners and business users through cutover. The analyst also defines gold-layer requirements, data contracts, and data-quality rules, and supports interviews, user acceptance testing, and training for migrated reports and dashboards.

This is a full-time role in Stable Kernel’s People Before Place Hybrid model. Employees may choose where to work most days, with an in-office presence required for regular in-person client and internal engagements. Travel may be associated with the role.

Requirements

• 5–8 years of experience as a data analyst.
• Experience working in a consulting or professional services organization.
• Experience supporting a data migration or platform modernization project, including source-to-target mapping and validation of migrated data.
• Bachelor’s degree in data science, a quantitative or analytical field, or a similar field.
• Familiarity with data warehouses, product analysis, statistical analysis tools, and large data sets, including managing their reliability and consistency.
• Experience with customer engagement platform tools such as MoEngage or Braze.
• Experience with reverse ETL and tools such as Hightouch.
• Experience using SQL and Python.
• Experience with Databricks and medallion architecture data models, or comparable lakehouse platforms.
• Experience with observability and BI tools such as DataDog, Anomalo, Tableau, Cognos, Looker, or Power BI.
• Experience using implementation and analytics tools such as Google Tag Manager, Google Analytics, Pendo, or Amplitude.
• Familiarity with Microsoft Office Suite.
• Ability to work with ambiguity and plan, structure, and execute complex solutions with limited input.
• Strong analytical, problem-solving, communication, consulting, and product leadership capabilities.

Nice To Haves

• Ability to test APIs using standard tools such as Postman and curl.
• Experience using agile work management tools such as Jira.

Responsibilities

• Aggregate and analyze client data to develop insights and business-optimization recommendations, and communicate those recommendations to clients and supporting teams.
• Design solutions that support product and team growth, improve future work speed, and preserve flexibility without unnecessary complexity.
• Own end-to-end measurement-framework design for complex data structures and drive standardization across projects.
• Lead the development of analytics strategies based on data-driven insights.
• Apply advanced capabilities and create reusable solutions using the existing toolset; evaluate and recommend tools and analytics platforms.
• Build reusable templates and workflows across teams, clients, and projects.
• Bring data considerations into product and strategy discussions and bridge communication across business, engineering, and executive stakeholders.
• Understand client businesses and goals, refine business questions, align work with long-term goals, identify gaps and risks, and help estimate work.
• Identify client growth opportunities and support statements of work, including independently drafting sections related to data capabilities.
• Coordinate analytics initiatives with product, design, and other teams; influence strategic decisions and guide roadmap discussions with data-backed perspectives.
• Advise stakeholders and executives, and deliver strategic status and team reports to leadership and senior clients.
• Act as a subject matter expert in client discussions, prioritize data-led initiatives with clients, and lead discovery sessions that inform product roadmaps and decisions.
• Define problems, measurement frameworks, and business goals; identify and solve complex, high-priority problems and develop short- and long-term solutions.
• Lead client problem-solving workshops, mitigate risks, remove roadblocks, and develop contingency plans for anticipated risks.
• Own internal projects that streamline team processes; drive best practices across projects and client programs.
• Mentor colleagues, provide constructive feedback, guide less experienced team members, lead learning sessions, resolve conflicts, and plan, delegate, and monitor work.
• Make critical decisions, drive deliverables through implementation, and represent the team in client conversations.
• Validate existing reporting and data-consumption assets before migration; review assets against metadata repositories and usage data to confirm ownership, consumers, and source systems.
• Reverse-engineer business logic in BI tools and document it as business rules confirmed with client owners.
• Prove parity between legacy and target environments; define and run reconciliation checks and assemble evidence for client sign-off.
• Support extended parallel runs for finance and SOX-related reporting with Finance and audit stakeholders.
• Partner with client Data Product Owners and business users through cutover; define gold-layer requirements, data contracts, and data-quality rules.
• Conduct consumer interviews, user acceptance testing, and support training for migrated reports and dashboards.

Benefits

• Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment.
• 401(k) with above-average company matching.
• Fully paid group life, short- and long-term disability, and AD&D insurance.
• Optional flexible spending account, dependent care flexible spending account, and health savings account participation.
• Voluntary life, critical illness, and accident insurance.
• Employee Assistance Program and Health Advocacy program at no cost to employees and their dependents.
• $1,500–$3,000 annual industry educational budget.
• Paid time off and paid holidays.
• Access to the Perks at Work program, featuring discounted products and services.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior