Job DescriptionThis analytics consulting role is a critical partner to EACX teams as they transition analytics use cases from legacy on-premises tools to modern, cloud-based platforms. Acting as both a consultant and enabler, the role provides hands-on guidance, practical execution support, and clear standards to help teams confidently adopt cloud analytics capabilities.
You will collaborate closely with analysts, data engineers, technology partners, and business product owners to understand business objectives, unblock migration challenges, and ensure that high-value data assets are accessible, reliable, and governed with defined service expectations. Success in this role means accelerating migration outcomes while raising the bar on how analytics solutions are built and sustained in the cloud.
Approximately 70% of the role is dedicated to stakeholder engagement, enablement, and migration execution, with the remaining 30% focused on strengthening governance capabilities such as source control, data quality, observability, and scalable development practices.
Key Responsibilities- Guide teams in designing cloud-based analytics solutions, including tool selection, architecture decisions, and implementation best practices.
- Support the migration of data mining, auditing, aggregation, validation, ETL/ELT, reconciliation, reporting, and visualization use cases.
- Build and deliver enablement artifacts, including documentation, metadata standards, training materials, and access guidance.
- Proactively identify and remove technical roadblocks to keep migrations moving forward.
- Partner with technology teams to ensure critical data assets are well-managed, reliable, and supported by clear SLAs.
- Contribute to and evolve governance practices for multi-tenant cloud environments, including source control, data quality, and observability.
Basic Qualifications- Bachelor's degree in a related field, or equivalent work experience.
- Six to eight years of statistical and/or data analytics experience
Preferred Qualifications- Degree or equivalent experience in Data Analytics, Business Analytics, Math, Statistics, Economics, Finance, or Computer Science.
- Strong communication, consulting, problem-solving, and analytical skills.
- Experience working in agile environments.
- Experience with Python, SQL, Spark, Databricks, Snowflake, Azure Synapse, Azure Data Factory, or Azure ML.
- Familiarity with SAS, Alteryx, Power BI, Tableau, marketing workflows, and banking data.
- Knowledge of data quality, observability, metadata, and governance practices.
- Experience with relational databases such as DB2, Postgres, Greenplum, SQL Server, or Azure databases.
- Experience with GitLab or GitHub.
The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.This position is not eligible for visa sponsorship.Benefits:Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:
- Healthcare (medical, dental, vision)
- Basic term and optional term life insurance
- Short-term and long-term disability
- Pregnancy disability and parental leave
- 401(k) and employer-funded retirement plan
- Paid vacation (from two to five weeks depending on salary grade and tenure)
- Up to 11 paid holiday opportunities
- Adoption assistance
- Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Review our full benefits available by employment status here.
Posting may be closed earlier due to high volume of applicants. 
