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Data Analytics Bi Jobs in Texas (NOW HIRING)

Power BI Developer

Spring, TX · On-site

$60 - $70/hr

Hybrid in Houston, TX Position Summary The Power BI Analytics Consultant will design and build PMO analytics and reporting solutions. This role is focused on creating scalable data models, automated ...

* Analyze engineering and cost-related datasets to identify trends and business insights * Perform ... Develop, maintain, and enhance Power BI dashboards * Establish data validation checks for report ...

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation ... The ideal candidate will have strong Power BI expertise, project controls experience, and ...

Data Analytics Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a ... Build and maintain Power BI semantic models -- relationships, DAX measures, security roles -- and ...

Data Analytics Engineer

Austin, TX · On-site

$108K - $129K/yr

Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools ... Data Governance & Quality * Implement data quality controls and validation processes. * Ensure ...

SWBC is seeking a results-oriented Data Analytics Manager to lead and develop a team of Data Analysts and BI Developers. This role will be instrumental in defining and executing the data analytics ...

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Data Analytics Bi information

What cities in Texas are hiring for Data Analytics Bi jobs?

Cities in Texas with the most Data Analytics Bi job openings:

W2 Sr. Data Analyst & BI Developer - Power BI / Databricks / Python

Frisco, TX • On-site

$50 - $55/hr

Contractor

Re-posted 29 days ago


Job description

Sr. Data Analyst / BI Developer – SQL / Python / Databricks / Power BI
FIRST PREFERNECE LOCALS
Location: Frisco, TX (Hybrid)
Interview: In-Person (Code Test Required)
Client Domain: Global Financial Technology & Payments Leader (FinTech)
Experience: 6+ Years
Visa: All Visa Types Welcome

 
ABOUT THE CLIENT
Our client is a global leader in financial technology and payments, moving money and information in ways that power the world’s financial ecosystem. They connect financial institutions, corporations, merchants, and consumers millions of times a day — quickly, reliably, and securely.  The Frisco, TX office is a key technology and analytics hub supporting Banking Solutions, Client Experience, and Enterprise Data & Analytics functions across North America.
ABOUT THE ROLE
This position supports the Banking Solutions Client Experience Data & Analytics team, covering key initiatives including Critical Implementations — Demand, Capacity and Utilization reporting and dashboards, Master AI dashboards, Operations Support Trends and Ticket Resolution reporting, and Data & Analytics backlog and support requests for senior leadership.  The ideal candidate combines strong analytical thinking, BI development expertise, and hands-on data engineering skills with a fintech or financial services background. A coding test will be administered as part of the in-person interview process.

KEY RESPONSIBILITIES
      •     Interact with stakeholders and users to define business requirements and necessary system modifications and convert business requirements into executable code solutions 
      •     Design, implement, and maintain Power BI reports and dashboards and develop reports using Power BI Data Analysis Expressions (DAX), SQL, and data lakes 
      •     Write advanced DAX measures, calculated columns, complex KPIs, and row-level security rules within Power BI semantic models
      •     Build, transform, and analyze large-scale datasets in Databricks using PySpark and Python for data exploration, cleansing, and pipeline development
      •     Develop Python scripts and notebooks in Databricks for data automation, transformation, statistical analysis, and ad-hoc analytics
      •     Develop, maintain, and enhance Power BI reports and dashboards to provide actionable insights that drive business outcomes and improve operational efficiency 
      •     Partner with stakeholders to surface trends, enable data-driven decisions, and scale reporting solutions across the organization 
      •     Write complex SQL queries for data extraction, joins, window functions, and query optimization across large enterprise datasets 
      •     Design and maintain dimensional data models, star schemas, and BI semantic layers to support enterprise reporting and self-service analytics
      •     Monitor pipeline and dashboard health, troubleshoot data issues, and implement data quality checks and validation rules
      •     Collaborate with data engineers, platform architects, and business stakeholders to ensure accurate, governed, and timely data delivery
      •     Automate recurring reports and analytics workflows to reduce manual effort and increase self-service capability across teams
      •     Evaluate and identify new technologies for implementation and write well-designed, testable, and efficient code ensuring designs follow specifications 
      •     Develop and maintain technical documentation including data dictionaries, report catalogs, and dashboard user guides
      •     Present analytical findings and dashboard insights clearly to both technical and non-technical senior leadership audiences

REQUIRED QUALIFICATIONS
      •     Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field
      •     5+ years of hands-on experience in Data Analytics and BI Development in an enterprise environment
      •     Strong proficiency in SQL — complex querying, joins, subqueries, window functions, stored procedures, and query performance tuning
      •     Hands-on Power BI development experience including Power Query (M), DAX formulas, calculated measures, data modeling, row-level security, and report publishing
      •     Proficiency in Python for data analysis, automation, and scripting — including pandas, NumPy, and data manipulation libraries
      •     Hands-on experience with Databricks — including notebooks, PySpark, Delta Lake, and large-scale data transformation workflows
      •     Experience in data modeling and dimensional modeling for analytics and BI semantic layers 
      •     Strong understanding of data warehousing concepts — star schema, snowflake schema, and data mart design
      •     Experience in financial services, payments, banking, or regulatory reporting environments 
      •     Excellent communication skills — able to translate complex data findings into clear, actionable insights for business stakeholders and senior leadership

PREFERRED QUALIFICATIONS
      •     Experience with Azure cloud services including Azure Data Factory, Azure Synapse Analytics, or Microsoft Fabric alongside Databricks
      •     Familiarity with Git-based version control and CI/CD practices for BI artifacts and data pipelines
      •     Experience with additional visualization tools such as Tableau in multi-tool BI environments
      •     Exposure to Agile/Scrum delivery methodology and sprint-based analytics development
      •     Knowledge of financial services data domains — payments, transactions, risk, compliance, or client operations
      •     Microsoft Certified: Data Analyst Associate (Power BI) certification is a strong plus
INTERVIEW PROCESS
Stage 1: In-Person Interview at Frisco, TX office
Stage 2: Hands-on Coding Test — SQL, Python, and Power BI DAX will be assessed
Note: Candidates must be prepared to demonstrate live coding ability during the in-person interview
WORK ARRANGEMENT
Location: Frisco, TX — Hybrid (regular in-office presence required)
All visa types are welcome to apply
COMPENSATION
Cliff Services W2: $50 to $55hr (candidate pay)