Senior Analytics Developer

Connerstrongbuckelew; Camden (NJ); On-site; USD 95,000 - 110,000; Full time

Benefits offered by this job

Comprehensive medical and dental insurance

401K plan

PTO

Job summary

Connerstrongbuckelew is looking for a Senior Analytics Developer based in Camden, NJ, to transform enterprise data into actionable insights. The candidate will support business intelligence initiatives and emerging AI-driven analytics, utilizing strong analytical skills and modern data platforms.

Key responsibilities include developing dashboards, optimizing queries, and collaborating with various teams. A bachelor’s degree and 4+ years in analytics are required, along with skills in Power BI, SQL, and Python.

The compensation ranges from $95,000 to $110,000, with eligibility for performance-based incentives and comprehensive benefits.

Qualifications

• Minimum 4 years of experience in business intelligence or analytics.
• Demonstrated ability to deliver analytical solutions independently.
• Ability to manage multiple priorities in a fast-paced environment.

Responsibilities

• Collaborate with teams to create reporting and analytical solutions.
• Design and maintain dashboards and self-service reporting capabilities.
• Develop queries and datasets to support reporting.

Skills

Analytical thinking

Python

SQL

Power BI

Data visualization

DAX

Education

Bachelor’s degree in computer science or related field

Tools

Azure SQL

Power Apps

Microsoft Excel

SharePoint Online

Job description

Role Overview

The Senior Analytics Developer is responsible for transforming enterprise data into actionable insights through reporting, analytics, visualization, and business intelligence solutions. This role partners with business stakeholders, Information Technology, and Data Analytics teams to deliver trusted data products that support operational efficiency and strategic decision‑making.

The position will support both traditional business intelligence initiatives and emerging AI‑driven analytics capabilities, including document intelligence, knowledge management, and enterprise search solutions. The ideal candidate combines strong analytical thinking with hands‑on experience across modern data platforms, visualization tools, Python/SQL along with low‑code applications and information management technologies.

Key Responsibilities

• Collaborate with business and technology teams to understand requirements and translate them into reporting, analytical, and data‑driven solutions.
• Design, develop, and maintain dashboards, scorecards, semantic models, and self‑service reporting capabilities.
• Create data models, metrics, and key performance indicators that provide consistent and meaningful business insights.
• Develop and optimize queries, transformations, and analytical datasets to support reporting and decision‑making.
• Build Power Apps and workflow solutions that improve business reporting and analytics processes, user experience, and data accessibility.
• Integrate and prepare data from multiple business systems, databases, files, APIs, and cloud‑based platforms.
• Support data quality, validation, reconciliation, and governance activities to ensure confidence in reporting outputs.
• Organize, classify, and enrich information stored within enterprise content repositories through metadata and information management practices.
• Assist with AI and knowledge‑management initiatives by preparing structured and unstructured information for analytics, search, and retrieval solutions.
• Create and maintain business glossaries, metric definitions, data dictionaries, and support documentation.
• Develop testing plans and coordinate user acceptance testing for reporting and analytics solutions.
• Present findings, recommendations, and solution designs to technical and non‑technical audiences.
• Identify opportunities to improve operational efficiency, reporting automation, and enterprise data utilization.
• Provide ongoing support and enhancement of existing analytical solutions through structured management processes.

Qualifications

• Bachelor’s degree in computer science, Information Systems, Data Analytics, Statistics, Business Analytics, or equivalent practical experience.
• Minimum 4 years of experience in business intelligence, analytics, reporting, or data‑focused solution development.
• Demonstrated ability to gather business requirements and independently deliver analytical solutions.
• Experience working throughout the full solution lifecycle, including analysis, design, development, testing, deployment, and support.
• Strong problem‑solving skills with the ability to manage multiple priorities in a fast‑paced environment.
• Excellent verbal and written communication skills with the ability to explain complex concepts to business users.
• Proven ability to learn new technologies and adapt to evolving business needs.
• Strong ability to manage multiple initiatives, prioritize work, and deliver within deadlines.
• Proven ability to rapidly learn and evaluate new platforms and technologies.
• Strong communication skills with the ability to explain technical solutions to business users.

Technology Skills

Required

• Power BI (semantic models, DAX, Power Query, dashboards, and reporting)
• SQL Server, Azure SQL, or similar relational database platforms
• Python for data analysis, automation, visualization, or reporting
• Power Apps and Power Automate
• Microsoft Excel (advanced formulas, Power Query, PivotTables, and data analysis)
• SharePoint Online and Microsoft 365
• Dataverse and Power Platform data integrations
• Data modeling, visualization, and analytical design
• API and file‑based data integration concepts

Preferred

• Microsoft Azure data and analytics services
• Microsoft Fabric
• Experience supporting enterprise reporting within insurance, employee benefits, healthcare, or financial services organizations
• SharePoint‑based document management and content repositories
• Metadata management, information architecture, and content classification
• AI‑powered search, document intelligence, and knowledge management solutions
• Experience working with unstructured data, OCR outputs, or document extraction platforms
• Familiarity with embeddings, vector databases, semantic search, etc.
• Exposure to enterprise data governance, data catalog, and master data management concepts

Compensation

Salary for this position ranges from $95,000.00 - $110,000.00. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education. Decisions will be determined on a case‑by‑case basis. In addition to the base salary, this position may be eligible for performance‑based incentives.

Qualifying positions will also be eligible for comprehensive benefits, such as participation in family medical and dental insurance programs, 401K plan, and PTO.

Must be authorized to work in the United States on a full‑time basis without company sponsorship.

Conner Strong & Buckelew is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, affectional or sexual orientation, gender identity or expression, national origin, ancestry, nationality, age, disability (physical or mental), marital or domestic partnership or Civil Union status, pregnancy, family medical history or genetic information, atypical cellular or blood trait, military service or any other status protected by law.