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Associate Data Analyst Jobs in Dallas, TX (NOW HIRING)

Wealth Performance & Analytics Analyst

Dallas, TX · On-site

$71K - $112K/yr

  • Medical

  • Life

  • Retirement

Senior Data Analyst The Senior Data Analyst performs complex analytics and statistical modeling on ... We equip our associates with future-focused skills and AI tools that enable us to advance our ...

Showing results 41-60

Associate Data Analyst information

See Dallas, TX salary details

$33.6K

$81.8K

$134.5K

How much do associate data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for associate data analyst in Dallas, TX is $81,750.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $96,000.00 per year, depending on experience, location, and employer.

Is an associate data analyst in data analytics worth it?

An associate data analyst role provides foundational experience in data collection, analysis, and visualization using tools like Excel, SQL, and Tableau. It can lead to career growth in data analytics or related fields, with entry-level salaries typically ranging from $50,000 to $70,000 annually depending on location and industry. Gaining certifications such as Microsoft Data Analyst Associate can enhance job prospects and earning potential.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

What are the key skills and qualifications needed to thrive as an associate data analyst, and why are they important?

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

Can I be an associate data analyst with no experience?

Entry-level associate data analyst positions often do not require prior experience and may focus on foundational skills such as Excel, SQL, or basic data visualization. Candidates with relevant coursework, certifications, or strong analytical aptitude can qualify even without professional experience.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What are the most commonly searched types of Data Analyst jobs in Dallas, TX?

The most popular types of Data Analyst jobs in Dallas, TX are:

What are popular job titles related to Associate Data Analyst jobs in Dallas, TX?

For Associate Data Analyst jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Associate Data Analyst jobs in Dallas, TX look for?

The top searched job categories for Associate Data Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Associate Data Analyst jobs?

Cities near Dallas, TX with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,812 per year, or $39.3 per hour.

$123K - $164K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Job description

Who We Are

Revantage, a Blackstone Real Estate portfolio company, is a global provider of corporate services.

With a corporate purpose of 'In Pursuit of Better,' Revantage delivers value-added services and world-class talent for Blackstone Real Estate portfolio companies, spanning diverse asset classes, including residential, logistics, office, hospitality and retail sectors. Headquartered in Chicago, the company's footprint extends across North America, Europe and Asia Pacific.

Rooted in a commitment to collaboration and inclusivity, Revantage goes beyond traditional corporate services and acts as a trusted partner. Across offerings that include finance, technology, human resources and operations, Revantage proactively anticipates stakeholder needs, recruits exceptional talent and enables its business partners to thrive.

What We Value: Our Culture

Our people are our most important asset, enabling Blackstone portfolio companies and investments to scale and thrive. Together, we foster a workplace where everyone can be themselves, enabling them todo their best work.

At Revantage, we have exceptional people who live our values and help us pursue better every day. We offer dynamic and meaningful work, competitive compensation, benefits and flexibility. We listen and take action to ensure our organization evolves to reflect our employees' voices and support an inclusive culture.

Our demonstrated commitment to our people and collaborative culture have earned us numerous awards as a top employer.

Our culture is built on our shared core values and commitment to be:

  • Learners - We learn from our challenges and successes

  • Leaders - We commit to continuous improvement

  • Enthusiasts - We face challenges with optimism and believe anything is possible

  • Achievers - We expect high standards for ourselves and enable the success of our teams

  • Partners - We deliver value and positive impact to our partners

Grow your career with us. As a member of our team, you'll gain hands-on experience in the real estate industry and benefit from a supportive environment that fosters personal and professional growth.

Why This Role Is Valuable

The Data Scientist at Revantage will develop and deploy machine learning models to optimize revenue management and pricing strategies, analyze large datasets to generate actionable business insights, and collaborate cross-functionally to align data initiatives with company goals. This role directly impacts business operations for Blackstone Portfolio Companies by improving decision-making and operational efficiency through advanced analytics. It offers the chance to contribute to high-visibility projects that drive measurable value across the organization.

How You Add Value

  • Build and deploy machine learning models to optimize revenue management and pricing strategies.

  • Analyze large datasets to develop models that can drive more informed and consistent business decision-making.

  • Collaborate with peers outside the data science team to align data science initiatives with business goals.

  • Continuously evaluate and improve model performance through testing, tuning, and validation.

  • Document processes, methodologies, and findings for both technical and non-technical audiences.

What You Bring To The Role

Required:

  • 3-6 years of professional experience in data science, machine learning, software engineering, or related fields, leveraging statistics and programming to drive business decisions.

  • Proven expertise in building machine learning models, including predictive and forecasting models, optimizing business operations and decision-making.

  • Experience working in fast-paced environments while producing rigorous, well-documented work.

  • Demonstrated ability to work effectively within a team, producing and reviewing code written by peers.

  • Bachelor's degree in relevant field, e.g., statistics, computer science, data science, etc.

Technical Skills:

  • Advanced proficiency in Python, including libraries such as scikit-learn and statsmodels.

  • Strong expertise in SQL for data extraction and transformation.

  • Familiarity with GitLab/Azure Devops for collaborative development and version control.

  • Strong understanding of evaluation metrics and hyperparameter tuning for machine learning models.

  • Solid grounding in statistics for inference and analysis.

  • Familiarity with time series analysis, regression models, and econometric techniques.

Preferred:

  • Familiarity with revenue management theory and pricing strategies is a plus.

  • Experience in real estate finance or operations is a plus.

  • Advanced degree (master's or Ph.D.) in a relevant field is a plus.

Base Compensation Range:

$123,684.00 To $164,868.00 Annually. This represents the presently-anticipated low and high end of the Company's base compensation range for this position. Actual base compensation range may vary based on various factors, including but not limited to location and experience.

Total Direct Compensation:

This job is also eligible for discretionary bonus and incentive compensation on an annual basis.

Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).

The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.

Perks for You

  • Competitive salary, overall compensation, and 401(k)

  • Work-life balance offerings include:

    • Hybrid Work Policy

    • Productivity Hours - weekly meeting-free work time

    • Summer Fridays

    • Work From Anywhere Month

  • In-house and external learning & development opportunities

  • Generous health insurance and wellness benefits

Please review the Job Applicant Privacy Notice.

EEO Statement

Revantage is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com