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Senior Data Analyst Startup Jobs in Tennessee (NOW HIRING)

Sr. Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology ... and analyze large-scale data solutions. * Translate complex business requirements into clear ...

Senior Data Architect

Nashville, TN · On-site

$65 - $87/hr

They are seeking a Senior Data Architect to design and implement data architecture strategies for ... Analysts, and Project Management - to plan and execute PM2PA data-related projects. • Provide ...

Senior Data Scientist

Nashville, TN · On-site

$100K - $209K/yr

The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes ...

Senior Data Engineer

Brentwood, TN · On-site

$55 - $65/hr

Senior Data Engineer (Azure / Databricks) Location: Multiple U.S. locations (client sites vary ... Monitor pipelines, troubleshoot issues, and perform root‑cause analysis. * Optimize Databricks ...

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation ... Monitor pipelines, troubleshoot issues, and perform root‑cause analysis. * Optimize Databricks ...

Apply AMS's OLM methodology to plant startup, steady-state, and shutdown data. * Use proprietary ... Work closely with senior engineers and technical leaders to resolve analysis questions and ensure ...

Apply AMS's OLM methodology to plant startup, steady-state, and shutdown data. * Use proprietary ... Work closely with senior engineers and technical leaders to resolve analysis questions and ensure ...

Apply AMS's OLM methodology to plant startup, steady-state, and shutdown data. * Use proprietary ... Work closely with senior engineers and technical leaders to resolve analysis questions and ensure ...

Senior Data Engineer

Oak Ridge, TN · On-site +1

$110K - $130K/yr

As a Senior Data Engineer, you will work closely with our customer's department leads and project ... A minimum of 5 years of experience in data engineering, analytics, or reporting roles. * At least 3 ...

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

Oracle Cloud Infrastructure (OCI) is seeking a Senior Data Engineer to join the Capacity Data ... The Capacity Data Analytics team plays a strategic role in enabling OCI's continued growth by ...

The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes ...

The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes ...

The Oracle Cloud Infrastructure Data Science and Analytics team is seeking a passionate, experienced Senior Data Scientist to tackle complex technical challenges of the Infrastructure Build processes ...

Showing results 41-60

Senior Data Analyst Startup information

What does a senior data analyst do at a startup?

A Senior Data Analyst at a startup is responsible for collecting, processing, and analyzing large sets of data to help drive strategic business decisions. They work closely with different teams to identify key metrics, create dashboards, and generate actionable insights that can influence product development, marketing, and overall company growth. Unlike larger organizations, analysts at startups often wear many hats, taking on tasks ranging from data engineering to presenting findings to leadership. This role requires a strong mix of technical skills, business acumen, and adaptability to the fast-paced, constantly changing startup environment.

What are the key skills and qualifications needed to thrive as a senior data analyst at a startup?

To thrive as a Senior Data Analyst at a startup, you need advanced data analysis skills, expertise in statistics, and a strong foundation in SQL and data modeling, typically supported by a relevant degree. Proficiency with tools like Python or R, data visualization platforms (e.g., Tableau or Power BI), and familiarity with cloud data warehouses (such as BigQuery or Snowflake) are commonly required. Strong problem-solving, adaptability, and communication skills make analysts stand out by enabling them to translate complex data insights into actionable business strategies. These abilities are crucial for driving data-informed decisions and agile growth in the fast-paced, resource-constrained startup environment.

What are some common challenges senior data analysts face when working in a startup environment?

Senior Data Analysts in startups often encounter challenges such as working with limited or rapidly evolving datasets, adapting to shifting business priorities, and establishing best practices where processes may still be forming. The fast-paced nature of startups can mean frequent changes in project direction, requiring analysts to be highly adaptable and proactive in communicating insights to both technical and non-technical stakeholders. Additionally, Senior Data Analysts may take on broader responsibilities, including mentoring junior team members and helping to shape the startup's data strategy.

What is the difference between Senior Data Analyst Startup vs Data Scientist?

AspectSenior Data Analyst StartupData Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; experience in analytics toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming skills
Work EnvironmentStartups, fast-paced, focus on analytics and reportingTech companies, research labs, focus on modeling and algorithm development
Employer & Industry UsageStartups across various sectors, emphasizing data-driven decisionsTech firms, research institutions, emphasizing predictive modeling

While both roles involve data analysis, Senior Data Analysts in startups focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to extract deeper insights. The roles overlap in skills but differ in scope and complexity.

What are the most commonly searched types of Data Analyst Startup jobs in Tennessee?

The most popular types of Data Analyst Startup jobs in Tennessee are:

What cities in Tennessee are hiring for Senior Data Analyst Startup jobs?

Cities in Tennessee with the most Senior Data Analyst Startup job openings:

Sr. Data Engineer

OneOncology

Nashville, TN • On-site

$102K - $139K/yr

Full-time

Posted 5 days ago


OneOncology rating

7.9

Company rating: 7.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

OneOncology is positioning community oncologists to drive the future of medical care through a patient-centric, physician-driven, and technology-powered model to help improve the lives of everyone living with cancer and other diseases. Our team is bringing together leaders to the market place to help drive OneOncology's mission and vision.
Why join us? This is an exciting time to join OneOncology. Our values-driven culture reflects our startup enthusiasm supported by industry leaders in oncology, urology, technology, and finance. We are looking for talented and highly-motivated individuals who demonstrate a natural desire to improve and build new processes that support the meaningful work of independent physicians and the patients they serve.
Job Description:
OneOncology is seeking a strong Sr. Data Engineer for a full-time role based in Austin, TX, Nashville, TN, or remote. Our development team is a small group and the person filling this role will be an integral part of it. All team members are individually motivated, yet collaborative. We maintain a high degree of accountability, are extremely productive and believe in enjoying our time at work.
The ideal candidate is a hands-on platform builder with extensive experience in developing scalable software and data platforms. The Sr. Data Engineer engages directly with IT management, development teams, technical delivery teams, and vendors to ensure the successful design, development, and delivery of technology-based solutions. They thrive in an agile environment, demonstrate strong initiative, and communicate effectively across teams.
Responsibilities:
  • Design & implement robust, componentized, and scalable data processes to that enhance and expand our business intelligence platform

  • Rapidly gain proficiency with big data and cloud technologies, leveraging them to build, optimize, and analyze large-scale data solutions.

  • Translate complex business requirements into clear technical deliverables, proactively identifying dependencies, risks and potential roadblocks.

  • Deliver high-quality, maintainable code efficiently, following best practices for version control, testing and deployment.

  • Collaborate with stakeholders to gather requirements, assess technical needs, and design solutions aligned with business objectives.

  • Continuously identify & implement improvements to optimize data pipelines, system performance & overall process efficiency.

  • Mentor and teach team members on modern data engineering concepts, industry standards, and internal best practices.

  • Demonstrate adaptability in a dynamic environment, effectively prioritizing work as requirements and priorities evolve.

  • Troubleshoot and resolve complex issues, maintaining system stability and minimizing disruptions to operations.

  • Take ownership of code, architecture, and documentation, communicating implementation details clearly to technical and non-technical audiences.

  • Document processes

  • Stay current with emerging technologies and industry standards, applying best practices in healthcare data engineering & development.

  • Additional responsibilities as assigned to help drive our mission of improving the lives of everyone living with cancer.

Required Qualifications:
  • 8+ years of hands-on experience with SQL development.

  • 8+ years of experience working with relational and non-relational databases, with a strong foundation in data modeling, schema design, and query optimization.

  • 5+ years of professional experience developing scalable solutions using Python or a similar object-oriented language.

  • Proficient in Databricks, Spark, and Delta tables; experience with large-scale distributed data processing preferred.

  • Solid understanding of Lakehouse and Medallion architectures.

  • Experience designing Data Integration/ETL pipelines using Azure Data Factory or equivalent.

  • Extensive experience deploying and managing solutions in cloud environments (preferably Microsoft Azure), including monitoring, cost optimization, and data security.

  • Strong understanding of Object-Oriented Design (OOD) principles and software engineering best practices.

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field; or equivalent work experience.

Essential Competencies:
  • Demonstrated ability to design and implement scalable, reliable data ecosystems.

  • Demonstrated expertise in building and maintaining robust, automated data pipelines.

  • Skilled in implementing instrumentation, logging, and alerting strategies to ensure data reliability and observability.

  • Proactive and analytical problem-solving skills with the ability to troubleshoot and optimize complex data workflows.

  • Attendance is an essential job function.

What OneOncology employees say

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