Data Analyst

About Digacore

Digacore is a fast-growing Managed Services Provider focused on operational excellence, automation, and data-driven decision-making. Our DNA (Data & Analytics) team is the backbone for reporting accuracy, analytics, and cross-department consistency.

Role Summary

As a Data Analyst on the DNA team, you will own data quality, analytics, and reporting across multiple business systems and teams—including Finance, Service, Projects, HR, and Account Management. You’ll transform multi-source data into clear insights and ensure consistency and trust in our reporting.

Growth opportunity: collaborate with our DevOps/DNA team as we expand into AI-enabled reporting and chat-based analytics across systems like ConnectWise, IT Glue, and Microsoft Entra.

Responsibilities

· Data reconciliation: reconcile datasets across departments; identify and resolve discrepancies (billable hours, invoice totals, GL mapping, ticket/project inconsistencies).

· Dashboards & reporting: build, iterate, and maintain dashboards for Finance, Service, Projects, AM, and Leadership; deliver clear visualizations tailored to the audience.

· Data reliability: root-cause analysis when reports fail, refresh incorrectly, or produce conflicting results; implement fixes and preventive checks.

· Upstream collaboration: partner with DevOps and technical teams to improve data pipelines, refresh processes, and automation reliability.

· Standards & documentation: define and document data definitions, quality checks, and validation standards; support data governance and KPI consistency.

· Ad-hoc analytics: support stakeholders with ad-hoc data pulls, analysis, and insight generation.

Required Skills & Qualifications

· Strong SQL and ETL capabilities.

· Intermediate Power BI (or Tableau/Looker/equivalent).

· Advanced Excel (pivot tables, lookups, advanced formulas).

· Python or R familiarity for analysis and automation.

· Demonstrated ability to reconcile multi-source datasets and communicate findings clearly.

Preferred / Bonus (AI Experience)

· Experience using AI/LLM tools to support analytics (insight generation, narrative summaries, chat-based Q&A).

· Familiarity with AI fundamentals like RAG/retrieval, embeddings, and evaluation/accuracy checks.

· Interest in integrating analytics into workflows (e.g., Teams-based insights, automation handoffs).

Compensation

Base salary: $65,000–$100,000

Location: Hybrid, Lakewood, NJ