Data Solutions Consultant

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.

• 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 Git Lab or Git Hub.

Demonstrates expertise in designing and implementing cloud‑based analytics solutions, with a strong focus on data governance, quality, and observability. Proficient in statistical and data analytics, leveraging tools such as Python, SQL, and Azure technologies to drive effective data management and reporting.