Data Analyst
Job in
Houston, Harris County, Texas, 77246, USA
Listed on 2026-01-12
Listing for:
Jobs via Dice
Full Time
position Listed on 2026-01-12
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Science Manager, Data Warehousing
Job Description & How to Apply Below
Data Analyst with Tableau and Power BI EXP
Houston, TX
Contract to Hire
Top Skills- Advanced Tableau developer skills, including backend database knowledge.
- Understanding of database and reports – self‑sufficient handling of tasks.
- SQL, Big Query, and ability to build, publish, and understand Tableau calculations.
- Excellent communication with stakeholders, translating requirements into insights and KPIs.
- Team player, collaborative, and strong stakeholder relationships.
- Self‑motivated and self‑starter.
Job Description
Client is looking for a Senior Data Analyst to join the Enterprise Risk Management & Supply Chain Analytics team in Houston, TX.
Job SummaryResponsible for developing, maintaining, and optimizing data analytics, pipelines, and products. Supports cross‑functional stakeholders and applies advanced knowledge of Tableau, Power BI, and SQL.
Job Responsibilities- Collaborate with stakeholders to translate needs into actionable insights.
- Develop dashboards, scorecards, and visualizations.
- Use guidelines and custom designs to create complex formulas and calculations.
- Apply data analysis, quality, validation, and cleansing skills.
- Champion improved data quality across the organization.
- Develop documentation such as process maps, data dictionaries, metadata, and architecture diagrams.
- Design test strategies to optimize data usage and improve efficiency.
- Operate with moderate supervision and may provide training to less experienced professionals.
- Bachelor’s degree in IT, Computer Science, Engineering, Mathematics, or a related field.
- Minimum of 7 years of analytics experience.
- 5+ years of advanced Tableau expertise.
- Experience with SAP and Google Cloud.
- Experience with data warehousing technologies such as SAP HANA, ETL, Big Query, Oracle.
- Hands‑on experience with large datasets and analytics.
- Programming experience in SQL.
- Success in a collaborative, team‑oriented environment.
- Utility experience.
- Knowledge of R and Python.
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