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. Requirements 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. Core Competencies 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. #J-18808-Ljbffr