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Data Analytics Associate Jobs in Moore, OK (NOW HIRING)

Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer. Keys to success: In order to be successful as a Data Engineer you ...

Req ID: 352977 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Strong ability to analyze, process, and validate transactions based on established rules and ...

Req ID: 352977 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Strong ability to analyze, process, and validate transactions based on established rules and ...

Req ID: 352977 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Strong ability to analyze, process, and validate transactions based on established rules and ...

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... Analyze claims and cost savings data to drive insights for reporting and product improvement

Showing results 21-40

Data Analytics Associate information

See Moore, OK salary details

$3.1K

$6.1K

$8.7K

How much do data analytics associate jobs pay per month?

As of Aug 10, 2026, the average monthly pay for data analytics associate in Moore, OK is $6,057.83, according to ZipRecruiter salary data. Most workers in this role earn between $5,500.00 and $6,458.33 per month, depending on experience, location, and employer.

What does a data analytics associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

How does a data analytics associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a data analytics associate?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.
What cities near Moore, OK are hiring for Data Analytics Associate jobs? Cities near Moore, OK with the most Data Analytics Associate job openings:
Infographic showing various Data Analytics Associate job openings in Moore, OK as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,694 per year, or $34.9 per hour.

Data Engineer I,II,III, SR

mytfcuhr

Oklahoma City, OK

$106K - $133K/yr

Full-time

Posted 6 days ago


Job description

Tinker Federal Credit Union’s IT Department has an immediate opening for a Data Engineer! This is an exciting opportunity to join one of the nation’s leading credit unions! We offer competitive pay, a robust benefits package, a “smart casual dress code” and much more! We want you to work and grow at TFCU, so there will be many opportunities for professional development and growth through training and continued education. We value you at TFCU!

As a Data Engineer, you will be responsible for the following:

  • Building and maintaining scalable data pipelines and infrastructure that support analytics, business intelligence, and data integration initiatives.
  • Ensures efficient and reliable access to data across the organization by designing robust data models, optimizing data workflows, and implementing data quality and governance practices.
  • Collaborate with stakeholders across the organization to translate business requirements into robust technical solutions while adhering to established best practices, security standards, and regulatory requirements

Salary Range:

This is a non-exempt position. The starting salary range is: Level I: $86,368.28309 - $107,960.35, Level II: $106,414.36 - $133,017.95, Level III $131,113.13 - $163,891.42, Senior:  $131,113.13 - $163,891.42 however, actual placement within the range will be determined individually based on your experience relative to organizational needs and internal salary equity.

Schedule:

Normally works a weekday schedule, but may be required to work evenings, holidays, or weekends. May be required to travel overnight with or without notice. Could be subjected to on-call status.

Education/Experience:

A bachelor’s degree in computer science, information systems, business analytics, applied statistics, or a related field for all levels is required. A master’s degree in computer science, information systems, computer engineering, artificial intelligence, machine learning, data science, or a closely related field is preferred at the Senior level.

Certificates, Licenses, Registrations:

  • Incumbent Bonding REQUIRED by TFCU’s chosen authority.
  • Certifications such as Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer.

Keys to success:

In order to be successful as a Data Engineer you must possess these qualifications:

  • Strong interpersonal and team collaboration skills.
  • Ability to communicate technical concepts effectively to technical and non-technical audiences.
  • Strong analytical and problem-solving skills with the ability to design scalable, efficient, and reliable data solutions.
  • Strong understanding of data structures, algorithms, and core data engineering principles.
  • Detail-oriented with the ability to maintain accurate technical documentation, data lineage, and metadata.
  • Ability to manage multiple projects, priorities, and deadlines in a dynamic environment.
  • Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred.
  • Strong understanding of data modeling, database design, and dimensional modeling techniques, including star and snowflake schemas.
  • Experience with Microsoft Fabric technologies, including Data Factory, Dataflows Gen2, Synapse, OneLake, and Power BI (Level II and above).
  • Knowledge of source control, CI/CD pipelines, and DevOps practices supporting data engineering solutions (Level II and above).
  • Knowledge of data governance, information security, privacy, and regulatory requirements, including data classification, encryption, GLBA, and protection of personally identifiable information (PII).
  • Advanced knowledge of cloud-based data platforms, semantic modeling, data architecture, and real-time data processing technologies (Senior Data Engineer).