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.

Bachelor’s degree in a related field, or equivalent work experience.
Six to eight years of statistical and/or data analytics experience
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.

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

Data Solutions Consultant

Key skills