Senior Data Analyst: Insights & Dashboard Leader

OneMagnify; Indiana (PA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Flexible Time Off

Job summary

OneMagnify, a data-driven AI native B2B digital agency, is seeking a Senior Data Analyst to build analytics deliverables that drive insights across sales, campaigns, and customer behavior. You will create dashboards in Power BI, Qlik, and BigQuery, and collaborate with partners to translate data into strategic decisions.

Ideal candidates have 5+ years in analytics, strong SQL and GCP/BigQuery skills, and a background in statistics or data science.

Qualifications

• 5+ years of experience in an analytical role with data manipulation and reporting
• Bachelor’s or advanced degree in Statistics, Mathematics, Data Science, Econometrics, CS, Analytics, Finance, or related field
• Strong proficiency in SQL, GCP/BigQuery, Power BI, Tableau, Alteryx, and Qlik
• Excellent problem-solving, communication, and collaboration across teams

Responsibilities

• Query, join, and manipulate large datasets; create calculated variables and automate processes
• Analyze marketing and sales performance metrics and customer analytics
• Develop and support dashboards and reports (BPR) with actionable insights
• Present findings to stakeholders and collaborate with clients and team members
• Apply knowledge of automotive service/parts analytics where relevant

Skills

Power BI

SQL

BigQuery

Alteryx

Tableau

Qlik

Data wrangling

Education

Bachelor’s degree in Statistics or related field

Tools

GCP/BigQuery

Power BI

Job description

OneMagnify, a data-driven AI native B2B digital agency, is seeking a Senior Data Analyst to build analytics deliverables that drive insights across sales, campaigns, and customer behavior. You will create dashboards in Power BI, Qlik, and BigQuery, and collaborate with partners to translate data into strategic decisions.

Ideal candidates have 5+ years in analytics, strong SQL and GCP/BigQuery skills, and a background in statistics or data science.