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Sigma Computing
Sigma Computing

60 Sigma Computing Data Analyst Jobs Hiring Near You

Sigma Computing

Software Engineer - Compiler

New York, NY · On-site

$170K - $235K/yr

About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team ...

Sigma Computing

Software Engineer - Compiler

Manhattan, NY · On-site

$170K - $235K/yr

Software Engineer - Compiler New York City, NY About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built ...

Sigma Computing

Software Engineer - Compiler

New York, NY · On-site

$170K - $235K/yr

About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team ...

Sigma Computing

Technical Sourcer

San Francisco, CA · On-site

$110K - $120K/yr

Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma ... Lunch Program * Dog friendly office Sigma Computing is an equal opportunity employer. We are ...

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Sigma Computing Jobs Information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What other companies are hiring for Data Analyst jobs?
What are the most popular jobs at Sigma Computing?
What are the most popular categories at Sigma Computing?
Infographic showing various Data Analyst job openings at Sigma Computing in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 98% Physical, and 2% Remote job distribution.
Enterprise Customer Success Manager

Enterprise Customer Success Manager

Sigma Computing

New York, NY • On-site

$132K - $165K/yr

Full-time

Medical, Retirement

Posted 18 days ago

Job description

About Sigma Computing
Sigma Computing is at the forefront of cloud-based analytics and business intelligence, transforming the way businesses leverage their data to make informed decisions. Our platform bridges the gap between complex data queries and business insights, providing an intuitive interface for users of all technical backgrounds.
We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives.
Key Responsibilities:
  • Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts.
  • Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights.
  • NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support.
  • Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention.
  • Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives.
  • Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base.

Required Skills / Experience:
  • Bachelor's or Master's degree in Business, Analytics, Computer Science, or a related field.
  • 7+ years of experience in a customer success, account management, or consultative role within the SaaS, analytics, or business intelligence industry.
  • Experience navigating complex enterprise sales environments with multiple priorities and stakeholders
  • Strong analytical skills with a proven ability to solve complex problems using data.
  • Excellent communication and interpersonal skills, with a knack for building trust and driving engagement.
  • Demonstrated ability to manage and grow customer accounts, specifically focusing on net dollar retention.
  • Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery)
  • ETL experience
  • Experience implementing production business intelligence solutions
  • Startup experience

Additional Job details
The base salary range for this position is $132k - $165k annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for a variable pay (based on goal achievement), stock options, as well as a comprehensive benefits package.
If you do not feel that you satisfy all the listed requirements, we encourage you to still apply.
About us:
Sigma is the AI apps and analytics platform connected to the cloud data warehouse. Using Sigma, business and technical teams can build intelligent, production-ready AI apps that accelerate and automate operational workflows. Sigma provides a spreadsheet interface, SQL and Python editors, visual builders, and native AI to help teams turn live data into interactive applications, analysis, reports, and embedded experiences.
Sigma announced its $200M in Series D financing in May 2024, to continue transforming BI through its innovations in AI infrastructure, data application development, enterprise-wide collaboration, and business user adoption. Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures.The Series D funding, raised at a valuation 60% higher than the company's Series C round three years ago, promises to further accelerate Sigma's growth.
Come join us!
Benefits For Our Full-Time Employees:
  • Equity
  • Generous health benefits
  • Flexible time off policy. Take the time off you need!
  • Paid bonding time for all new parents
  • Traditional and Roth 401k
  • Commuter and FSA benefits
  • Lunch Program
  • Dog friendly office

Sigma Computing is an equal opportunity employer. We are committed to building a smart and strong team regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We look forward to learning how your experience can enable all of us to grow.
Note: We have an in-office work environment in all our offices in SF, NYC, and London.
Our Privacy Practices
When you submit a job application on this site, Sigma processes your personal data for the purposes of evaluating your candidacy for employment at Sigma and as otherwise needed throughout the recruitment and hiring process. Please review Sigma's Candidate Privacy Notice for more details. Please note that your personal data may be transferred to a country other than the one in which it was provided (including to USA, the UK, and Canada).
Sigma's use of AI
This hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

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