Data Analyst Business Analyst

Data Analyst / Business Analyst:

Total Positions 03

Location preference:

o Lake Mary, FL (Accounting)

o Tulsa, OK (Revenue Assurance)

o Dallas, TX

Must Have:

Minimum 6+ years in a Data Analyst role with Finance Acumen and/or Revenue Assurance.

Deep understanding of data management and analysis within the Information Technology domain - harnesses the power of data to drive informed decision-making and optimize IT operations.

Responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights for decision-making.

Proficiency in data querying languages like SQL, along with experience in database management systems, for extracting and manipulating data from various sources.

Strong knowledge on Data Governance, Data Quality and Data Testing

Some experience with data visualization tools will be an advantage.

Skilled in data cleansing, transformation, and data quality assessment to ensure the accuracy and reliability of information.

Experience with data warehousing solutions and ETL processes for managing large data volumes.

Experience collaborating with cross-functional teams to understand business requirements, translate them into data solutions, and implement data-driven strategies.

Effective communication skills for communicating technical insights to non-technical stakeholders and ensuring alignment on business objectives.

Good to Have:

Knowledge on GCP BigQuery platform

Knowledge on S4/Hana

Minimum 6+ years in a Data Analyst role with Finance Acumen and/or Revenue Assurance. Deep understanding of data management and analysis within the Information Technology domain - harnesses the power of data to drive informed decision-making and optimize IT operations. Responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights for decision-making. Proficiency in data querying languages like SQL, along with experience in database management systems, for extracting and manipulating data from various sources. Strong knowledge on Data Governance, Data Quality and Data Testing Some experience with data visualization tools will be an advantage. Skilled in data cleansing, transformation, and data quality assessment to ensure the accuracy and reliability of information. Experience with data warehousing solutions and ETL processes for managing large data volumes. Experience collaborating with cross-functional teams to understand business requirements, translate them into data solutions, and implement data-driven strategies. Effective communication skills for communicating technical insights to non-technical stakeholders and ensuring alignment on business objectives. Good to Have: Knowledge on GCP BigQuery platform Knowledge on S4/Hana