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Data Analyst Startup Jobs in Oklahoma (NOW HIRING)

Senior Data Engineer

Tulsa, OK ยท Remote

$96K - $131K/yr

... startup or fast-growing technology company. About SmartLight AnalyticsSmartLight Analytics was ... Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Collect and analyze data to gain insights into user behaviour, product usage, and marketing ... Experience working in a startup environment or high-growth company is often preferred. Continuous ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

Strong analytical and critical thinking abilities, with a data-driven approach to decision-making * Ability to thrive in a fast-paced, dynamic startup environment * Eagerness to learn, adapt, and ...

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Data Analyst Startup information

What are some challenges a data analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the data analyst startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What is a data analyst startup?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

What are the most commonly searched types of Data Analyst Startup jobs in Oklahoma? The most popular types of Data Analyst Startup jobs in Oklahoma are:
What job categories do people searching Data Analyst Startup jobs in Oklahoma look for? The top searched job categories for Data Analyst Startup jobs in Oklahoma are:
Infographic showing various Data Analyst Startup job openings in Oklahoma 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.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK โ€ข Remote

$96K - $131K/yr

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement โ€” you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organizationโ€™s BI and reporting tool.
Required Skills and Qualifications
  • Bachelorโ€™s degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.