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Senior Data Analyst Startup Jobs in Indiana (NOW HIRING)

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

Senior Data Scientist Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN Employment ... Analyze large datasets to identify trends, patterns, and correlations, and interpret findings to ...

Sr. Data Engineer

Indianapolis, IN · On-site

$100 - $125/hr

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce reliance on manual data ...

Senior Data Scientist

Carmel, IN · On-site

$119K - $144K/yr

In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if ... Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market ...

Senior Data Scientist

Carmel, IN · On-site

$125 - $150/hr

In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if ... Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market ...

Senior Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

Senior Data Architect Work Location & Reporting Address: Indianapolis, IN 46204 Contract duration 6 ... Establish reusable design patterns for agentic, analytical, and model-driven workflows using cloud ...

Senior Data Scientist

Carmel, IN · On-site

$125 - $150/hr

In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if ... Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market ...

... by senior analyst • Interprets data and from multiple sources using a variety of analytical techniques, ranging from simple data aggregation to data mining, to more complex statistical ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce reliance on manual data ...

Senior Database Analyst

Crane, IN

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Senior Database Administrator to join our ...

Senior Database Analyst

Crane, IN · On-site

$86K - $108K/yr

Dive into exciting opportunities in Cybersecurity, IT, Data Analytics and more. Propel your career ... MANTECH seeks a motivated, career and customer-oriented Senior Database Administrator to join our ...

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Analyze requirements from the business and provide solutions or guidance for solutions Work with senior data analyst to establish data governance Non-Essential Duties and Responsibilities Perform ...

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Conducts gap analysis on source system databases against Allied's enterprise data warehouse in ...

Senior Data Engineer

Carmel, IN · On-site

$105K - $143K/yr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Conducts gap analysis on source system databases against Allied's enterprise data warehouse in ...

Senior Data Engineer

Carmel, IN · On-site

$125 - $150/hr

The Senior Data Engineer plays a critical role in the successful execution of Allied's Data ... Conducts gap analysis on source system databases against Allied's enterprise data warehouse in ...

Showing results 21-40

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 Indiana?

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

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

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

Senior Data Scientist

MatchPoint Solutions

Columbus, IN • On-site

$80K - $90K/yr

Full-time

Posted 12 days ago


Job description

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Job Title: Senior Data Scientist
Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN
Employment Type: (Full-time / Part-time / Contract) Contract/ FTE
Pay Range: 80,000-90,000
Responsibilities:
Design and Develop Advanced Data Models: Design, develop, and deploy advanced data models and algorithms using machine learning, deep learning, and statistical techniques to drive business decisions.
Predictive Modeling: Develop and deploy predictive models using machine learning frameworks like scikit-learn,
TensorFlow, or PyTorch to forecast business outcomes.
Data Analysis and Interpretation: Analyze large datasets to identify trends, patterns, and correlations, and interpret
findings to inform business decisions.
Code Quality and Maintainability: Develop and maintain high quality, maintainable code using object-oriented
programming principles, ensuring scalability, efficiency, and reliability.
Data Visualization and Storytelling: Develop and maintain data visualizations and dashboards to communicate insights and findings to business stakeholders using tools like Tableau, AWS Quicksight, Power BI, or D3.js or others
depending on the requirement of the customer.
Communication and Collaboration: Collaborate with cross functional teams, including data engineering, data analytics, software developers, testers, cloud architects and business stakeholders to deliver complex data projects, ensuring alignment with business objectives and technical requirements.
Requirements:
Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related fields.
• 5+ years of experience in data science, or related fields.
• Strong expertise in machine learning & deep learning frameworks like scikit-learn, TensorFlow, or PyTorch.
• Very good proficiency in SQL,Python, Pyspark for data science and ML.
• Statistics & Math: Strong foundation in probability, statistical analysis, and optimization techniques.
Problem-Solving:
Ability to work on complex business challenges and translate data insights into actionable
solutions.
• Experience with cloud-based data management (AWS, GCP, Azure).
• Strong understanding of data architecture, data modeling, and data governance.
• Experience in Predictive maintanance, time series forecasting and anomaly detection.
• Hands-on knowledge of data visualization tools like Tableau, Power BI, or D3.js.
• Strong communication and collaboration skills, with experience working in cross-functional teams.
• Experience with Agile development methodologies and version control systems (e.g., Git).
• Good to have experience in automotive domain.
MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.