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Analyst Data Analysis Jobs in Texas (NOW HIRING)

... analysis • Strong attention to detail and a genuine commitment to data quality • Ability to work collaboratively within a team and communicate clearly with both technical and non-technical ...

Principal Data Analysis

Dallas, TX · On-site

$128K - $215K/yr

The ideal candidate is a Principal Data Analyst who brings specialized analytical expertise in evaluating complex billing data, identifying trends, and uncovering anomalies across products, systems ...

New

Ideal Candidate Profile The ideal candidate is a proactive blend of data analyst, automation builder, project manager, business storyteller, and agentic solution builder . They are comfortable ...

Ideal Candidate Profile The ideal candidate is a proactive blend of data analyst, automation builder, project manager, business storyteller, and agentic solution builder . They are comfortable ...

Lead Data Analysis

Dallas, TX · On-site

$116K - $196K/yr

Data Analysis and Interpretation: Analyze data using statistical methods to identify trends and insights, creating reports and recommendations for business decisions. * Reporting and Visualization:

Senior Data Analysis

Dallas, TX · On-site

$118K - $178K/yr

As a Senior Data Analysis you will research, collect, process, and organize data into various data repositories including maintaining and updating interfaces, creating data rules and data mapping ...

Identify, adopt, and evangelize data analysis best practices and technical standards. * Advocate for and identify creative implementations to optimize business impact. * Empower others to grow ...

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Perform complex ad hoc and recurring data analysis to support business and management requests. * Design, develop, and maintain interactive dashboards using Tableau (preferred) or similar BI tools.

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Data Analysis : Analyze large datasets to identify trends, patterns, and insights that support project management, operational efficiency, and strategic initiatives. * Reporting and Visualization

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Analyst Data Analysis information

What are the key skills and qualifications needed to thrive as an analyst data analysis?

To thrive as an Analyst in Data Analysis, you need strong analytical skills, a solid foundation in statistics, and proficiency with data querying languages, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI, as well as certifications in analytics, are highly valued. Attention to detail, critical thinking, and effective communication are essential soft skills for interpreting data and presenting actionable insights. These competencies enable analysts to extract meaningful information from complex datasets, drive informed decision-making, and add value to their organizations.

What is the difference between Analyst Data Analysis vs Data Scientist?

AspectAnalyst Data AnalysisData Scientist
Required CredentialsBachelor's degree in data-related fields; certifications like Microsoft Excel, SQLBachelor's or master's in data science, statistics, or related fields; certifications in Python, R, or machine learning
Work EnvironmentBusiness settings, reporting, dashboards, data visualizationResearch, modeling, advanced analytics, machine learning projects
Employer & Industry UsageFinance, marketing, healthcare, retailTech companies, finance, research institutions, startups

While both roles analyze data, Analyst Data Analysis focuses on interpreting data for business insights using tools like Excel and SQL. Data Scientists build predictive models and perform advanced analytics using programming languages like Python or R. The roles differ mainly in complexity, tools used, and scope of analysis, but they often collaborate within data teams.

What is an analyst data analysis?

Analyst Data Analysis roles involve collecting, processing, and interpreting large sets of data to help organizations make informed business decisions. These professionals use statistical techniques and data visualization tools to identify trends, patterns, and insights from raw data. They often collaborate with various departments to provide actionable recommendations and support strategic planning. Strong analytical skills, attention to detail, and proficiency with data analysis software are essential for this role.

How does an analyst data analysis typically collaborate with other departments within a company?

Analyst Data Analysis professionals frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product management to gather requirements and deliver actionable insights. They participate in meetings to discuss data needs, share analytical findings, and help stakeholders interpret results for decision-making. Effective communication and the ability to translate complex data into understandable terms are crucial, as these analysts often serve as a bridge between technical teams and business units. Collaborating on projects and providing data-driven recommendations is a central part of their daily responsibilities.
What job categories do people searching Analyst Data Analysis jobs in Texas look for? The top searched job categories for Analyst Data Analysis jobs in Texas are:
What cities in Texas are hiring for Analyst Data Analysis jobs? Cities in Texas with the most Analyst Data Analysis job openings:
Infographic showing various Analyst Data Analysis job openings in Texas as of August 2026, with employment types broken down into 45% Full Time, and 55% Contract. Highlights an 100% In-person job distribution.

Data Analyst - Data Operations

LP Analyst

Dallas, TX • On-site

Full-time

Re-posted 17 days ago


Job description

Job Summary:
LP Analyst is a leading independent private asset cloud-based analytics and consulting solutions firm. They are seeking a detail-oriented and technically motivated Data Analyst to join their operations team, responsible for the collection, processing, and delivery of financial data to clients.
Responsibilities:
• Support the build-out and maintenance of ETL/ELT pipelines that collect, transform, and load financial data from multiple sources into our internal platform, ensuring accuracy and completeness
• Leverage AI-based tools for automated data extraction and validation, helping to assess output quality and flag exceptions that require review or correction
• Write and optimize SQL queries to support data transformation, validation, and quality assurance across our internal data platform
• Identify manual, Excel-heavy workflows and assist in transitioning them to automated, repeatable solutions
• Monitor pipeline performance and data quality, flagging and resolving issues to ensure accurate and timely client data delivery
• Interpret varied reporting formats and practices across private capital strategies, applying judgment to ensure data is accurately captured and consistently represented regardless of source format
• Communicate effectively with team leads, senior colleagues, and non-technical teammates, translating technical processes and findings into clear business terms and escalating issues through appropriate channels
• Contribute to documentation of pipelines, data flows, and processes to build shared knowledge across the team
• Assist in testing and QA of new pipeline builds and enhancements before deployment
• Respond to ad hoc data requests from internal teams, pulling and summarizing data as needed to support day-to-day business operations
• Adhere to data governance standards including naming conventions, data definitions, and data integrity practices, with an awareness of the accuracy and compliance expectations of a financial services environment
• Work collaboratively with cross-functional teams, including client services, to meet service-level agreements and data delivery deadlines, adapting to shifting priorities in a deadline-driven environment
Qualifications:
Required:
• 0–3 years of experience in a data, analytics, or operations role
• Hands-on experience with Python, including writing scripts for data processing or automation
• Working knowledge of SQL, including writing queries to extract, transform, and validate data
• Exposure to AI-based data tools or a demonstrated curiosity about applying AI and automation to data workflows
• Familiarity with ETL/ELT concepts and data pipeline fundamentals
• Proficiency in Excel and/or Power Query for data manipulation and analysis
• Strong attention to detail and a genuine commitment to data quality
• Ability to work collaboratively within a team and communicate clearly with both technical and non-technical colleagues
• Bachelor's degree in Finance, Business Analytics, Data Science, Computer Science, or a related field
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa for this position
Preferred:
• Understanding of financial data — fund accounting, investment data, or financial statements experience — is a plus
Company:
LP Analyst is the source for independent advisory and analysis solutions for the private equity investment community. Founded in 2011, the company is headquartered in Dallas, USA, with a team of 51-200 employees. The company is currently Growth Stage.