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We’re seeking a
Data Analyst
with a strong analytical mindset and a passion for uncovering insights through data. The ideal candidate is highly skilled in
SQL and Excel , has solid experience with
SAS , and enjoys investigating complex data problems to tell a clear, data-driven story. You’ll work closely with business and technical teams to transform raw data into meaningful insights, reports, and visual dashboards that drive strategy and decision-making.
Key Responsibilities:
Write and optimize
SQL queries
to extract, transform, and analyze data from multiple sources.
Develop, maintain, and automate
Excel-based reports
and models for key stakeholders.
Use
SAS
for advanced statistical analysis, data cleaning, and reporting.
Design and build
interactive dashboards
and visualizations (e.g., Power BI, Tableau, or similar tools).
Investigate data anomalies, identify trends, and provide actionable recommendations.
Partner with business teams to understand data needs and translate them into analytical deliverables.
Ensure data accuracy, integrity, and consistency across systems and reports.
Qualifications:
Bachelor’s degree in Data Analytics, Statistics, Computer Science, or a related field (or equivalent experience).
3+ years of experience as a Data Analyst or in a similar analytical role.
Advanced proficiency in
SQL
and
Excel
(including Power Query, Pivot Tables, and complex formulas).
Hands‑on experience with
SAS
for data manipulation and analysis.
Experience with
dashboarding tools
(Power BI, Tableau, Qlik, etc.).
Strong analytical, problem‑solving, and research skills with a natural curiosity for data.
Excellent communication skills and the ability to translate data findings into business insights.
Preferred:
Experience with data visualization best practices.
Exposure to Python or R for data analysis (a plus, but not required).
Background in financial, healthcare, or operational data environments.
Why Join Us: You’ll be part of a team that values curiosity, precision, and continuous learning. We encourage innovative thinking and offer opportunities to grow your skills and make a measurable impact through data.
#J-18808-Ljbffr
We’re seeking a
Data Analyst
with a strong analytical mindset and a passion for uncovering insights through data. The ideal candidate is highly skilled in
SQL and Excel , has solid experience with
SAS , and enjoys investigating complex data problems to tell a clear, data-driven story. You’ll work closely with business and technical teams to transform raw data into meaningful insights, reports, and visual dashboards that drive strategy and decision-making.
Key Responsibilities:
Write and optimize
SQL queries
to extract, transform, and analyze data from multiple sources.
Develop, maintain, and automate
Excel-based reports
and models for key stakeholders.
Use
SAS
for advanced statistical analysis, data cleaning, and reporting.
Design and build
interactive dashboards
and visualizations (e.g., Power BI, Tableau, or similar tools).
Investigate data anomalies, identify trends, and provide actionable recommendations.
Partner with business teams to understand data needs and translate them into analytical deliverables.
Ensure data accuracy, integrity, and consistency across systems and reports.
Qualifications:
Bachelor’s degree in Data Analytics, Statistics, Computer Science, or a related field (or equivalent experience).
3+ years of experience as a Data Analyst or in a similar analytical role.
Advanced proficiency in
SQL
and
Excel
(including Power Query, Pivot Tables, and complex formulas).
Hands‑on experience with
SAS
for data manipulation and analysis.
Experience with
dashboarding tools
(Power BI, Tableau, Qlik, etc.).
Strong analytical, problem‑solving, and research skills with a natural curiosity for data.
Excellent communication skills and the ability to translate data findings into business insights.
Preferred:
Experience with data visualization best practices.
Exposure to Python or R for data analysis (a plus, but not required).
Background in financial, healthcare, or operational data environments.
Why Join Us: You’ll be part of a team that values curiosity, precision, and continuous learning. We encourage innovative thinking and offer opportunities to grow your skills and make a measurable impact through data.
#J-18808-Ljbffr