Data Analyst – Business Insights

NextTANew York, NY
Onsite

About The Position

This organization is a global communications solutions provider offering a comprehensive suite of fully managed services focused on secure connectivity, networking, and mobility. It supports businesses and government agencies by simplifying communications and network operations. Clients include many Fortune 500 companies, and the organization is recognized as an industry leader. With a broad technology portfolio, integrated partnerships, and a private network, it delivers tailored solutions across design, deployment, and ongoing management — driving efficiency, innovation, and enabling customers to focus on core objectives. The team values each member’s contribution to long‑term success and provides an environment where professionals can grow, collaborate, share knowledge, and build a rewarding career.

Requirements

  • Bachelor’s degree in Economics, Finance, Data Analytics, Data Science, or Computer Science
  • 2+ years of experience in data analysis, visualization, financial reporting, or dashboard creation
  • Working SQL proficiency (joins, aggregations, grouping; window functions a plus)
  • Strong attention to numerical accuracy
  • Strong written communication skills
  • Ability to read and reason about unfamiliar code
  • Openness to AI‑assisted development tools paired with disciplined review
  • Audience‑first mindset
  • Curiosity about business operations (revenue, cost, churn, utilization, service levels)

Nice To Haves

  • Experience defining or maintaining metrics used by others
  • Familiarity with analytical constructs (cohorts, ratios, period‑over‑period, mix shift, survivorship)
  • Experience writing software (Python, JavaScript/TypeScript, R, C#, Java)
  • Exposure to React, TypeScript, or modern front‑end frameworks
  • Experience with columnar/cloud data warehouses (StarRocks, Snowflake, BigQuery, Redshift, ClickHouse)
  • Data engineering or pipeline experience (ETL, Dagster, Airflow, Flink, Kafka)
  • Familiarity with git, dbt, or lineage tools
  • Background in operations, finance, or customer‑facing role

Responsibilities

  • Translate business questions into precise metric definitions, documenting grain, time basis, and exclusion rules. Maintain consistency so metrics like “Billed Revenue” or “Overdue Task” have a single definition across the organization.
  • Build reporting for both immediate operational needs and long‑term strategic decision‑making, understanding how cadence, grain, and framing differ between the two.
  • Collaborate closely with supported teams to understand their responsibilities, decision‑making processes, and blind spots. Push back when requested metrics are vanity measures or misaligned with desired behaviors.
  • Own the end‑to‑end reporting layer for assigned business units, becoming the go‑to person who can explain why a number appears as it does.
  • Write and optimize SQL queries against the data warehouse, ensuring clear traceability from dashboard figures back to source systems. You should be able to trace any number back to the exact row it originated from.
  • Maintain existing dashboards for accuracy and performance. Build new pages in the internal React application, including writing queries, wiring APIs, and implementing front‑end views.
  • Use AI coding tools to generate and refactor code, applying careful review and validation before production deployment.
  • Respond to one‑off business questions, present findings clearly to non‑technical audiences, and identify when recurring requests should become permanent dashboards.
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