Data Analyst/SQL

Tech Observer; United States; On-site; USD 95,000 - 125,000; Full time

Job summary

Tech Observer seeks a data-focused professional to lead insight generation, modeling, analytics, and reporting across business units. You will build robust data pipelines, write SQL, and develop predictive models to forecast outcomes.

The role emphasizes collaboration with stakeholders, data governance, dashboards in Tableau, and integrating Salesforce and Google Analytics data to drive strategic decisions.

Qualifications

• 5+ years of experience in data analysis, data science, or business analytics roles.
• Bachelor's or Masters degree in Statistics, Computer Science, Economics, Engineering, or related field.
• Strong SQL and working knowledge of Python or R.
• Experience building dashboards in Tableau or other BI tools.
• Experience analyzing and integrating multiple data sources for analytics such as Salesforce/ other CRM platforms & Google Analytics.

Responsibilities

• Insight Generation: analyze large, complex datasets to answer key business questions and identify actionable trends.
• Modeling & Advanced Analytics: develop predictive models and statistical analyses to forecast key outcomes.
• Reporting & Enablement: build dashboards and data tools to democratize access to insights.
• collaboration: collaborate with stakeholders to scope projects and translate findings into recommendations.
• Data quality: help ensure data quality, consistency, and governance across the analytics ecosystem.
• Documentation: document work and contribute to team-wide knowledge sharing and best practices.

Skills

SQL

Python

R

Tableau

Salesforce

Google Analytics

Education

Bachelor's or Master's in Statistics, Computer Science, Economics, Engineering, or related field

Tools

Tableau

Salesforce

Google Analytics

Job description

Every Day You Will:

Insight Generation

Modeling & Advanced Analytics

Reporting & Enablement

Analyze large, complex datasets to answer key business questions and identify actionable trends & insights

Build robust SQL queries, data pipelines, and ad hoc analyses to support cross-functional initiatives

Collaborate with stakeholders to scope projects, structure analyses, and translate findings into clear business recommendations

Develop predictive models and statistical analyses to forecast key outcomes, supporting decision‑making

Apply advanced analytics techniques (e.g., regression, clustering, forecasting) to support workforce planning, marketing optimization, and service design

Build and maintain dashboards and data tools to democratize access to insights

Help ensure data quality, consistency, and governance across the analytics ecosystem

Document your work and contribute to team‑wide knowledge sharing and best practices

Ideal Candidate Will Possess:

Excellent organizational and time management skills, with the ability to prioritize tasks and manage multiple projects effectively

Proven track record of strong customer focus and adaptability, with a strong attention to detail and problem‑solving abilities

Effective written and verbal communication skills with the ability to engage with diverse audiences

A passion for providing a high level of customer service, including the ability to show empathy, active listening and patience

Technical proficiency with the ability to navigate through multiple systems, while maintaining attention to detail and data accuracy

Demonstrates fluency over all tools and resources specific to the role

Ability to embrace change and departmental growth in an evergreen environment

5+ years of experience in data analysis, data science, or business analytics roles

Bachelors or Masters Degree in Statistics, Computer Science, Economics, Engineering, or a related field

Strong SQL and working knowledge of Python or R

Experience in building dashboards in Tableau or other BI tools

Experience analyzing and integrating multiple data sources for analytics such as Salesforce/ other CRM platforms & Google Analytics