Data Analyst

Reposted 17 Days Ago
7 Locations
In-Office or Remote
64K-64K Annually
Mid level
Artificial Intelligence • Machine Learning • Database
The Role
Design, develop, and maintain Power BI dashboards and data models; write optimized SQL for extraction and transformation; implement data validation and quality checks; analyze large datasets for trends and anomalies; communicate findings and progress to stakeholders and participate in client engagements.
Summary Generated by Built In
Company overview:

Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.

Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.

We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.

Note: Please submit your resume in English, as all application materials must be in English for review and consideration.

Position Overview:

We’re seeking an experienced, hands‑on Data Analyst with deep expertise in Power BI and SQL to join our multi‑disciplinary team. You’ll work directly with clients to turn raw data into clear insights, intuitive dashboards, and high‑quality reports. The ideal candidate possesses a proven ability to deliver high‑impact insights and effectively communicate technical concepts to stakeholders.

Responsibilities:
  • Collaborate with business stakeholders and technical teams to gather requirements for reports and dashboards.

  • Design, develop, and maintain scalable Power BI dashboards, reports, and data models.

  • Write optimized SQL queries (including complex joins, CTEs, and window functions) to extract, cleanse, and transform data.

  • Define and implement data validation, accuracy, and quality checks.

  • Analyze large datasets to identify trends, anomalies, and actionable insights.

  • Participate in customer engagement activities, clearly communicating technical concepts, design decisions, and project progress to stakeholders.

Requirements:
  • Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field.

  • 3–6 years of industry experience as a hands‑on practitioner in data analysis, business intelligence, or a related role.

  • Advanced proficiency in SQL and proven experience with Python or other scripting languages for data manipulation.

  • Proven experience building advanced dashboards and reports in Power BI.

  • Strong understanding of data modeling, ETL processes, and data warehousing concepts.

  • Experience working with 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, or Databricks).

  • Expertise in 3–4 key data/BI tools (e.g., Power BI, Tableau, Looker, dbt).

  • Effective communication skills and the ability to collaborate effectively with both technical and non‑technical stakeholders.

Benefits
  • Fully remote

  • Flexible schedule

  • Paid parental and bereavement leave

  • Worldwide recognized clients to build skills for an excellent resume

  • Top‑notch team to learn and grow with

Salary: $5,350 USD monthly (range may vary depending on experience)

Background checks may be required for certain positions/projects.

Blue Orange Digital is an equal‑opportunity employer.

Skills Required

  • Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field
  • 3-6 years industry experience in data analysis, business intelligence, or related role
  • Advanced proficiency in SQL, including complex joins, CTEs, and window functions
  • Proven experience with Python or other scripting languages for data manipulation
  • Proven experience building advanced dashboards and reports in Power BI
  • Strong understanding of data modeling, ETL processes, and data warehousing concepts
  • Experience working with 2-3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks)
  • Expertise with 3-4 key data/BI tools (e.g., Power BI, Tableau, Looker, dbt)
  • Ability to define and implement data validation, accuracy, and quality checks
  • Effective communication skills for collaborating with technical and non-technical stakeholders

Blue Orange Digital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blue Orange Digital and has not been reviewed or approved by Blue Orange Digital.

  • Healthcare Strength Health coverage is described as comprehensive across medical, dental, and vision in current job postings, with some descriptions indicating particularly strong plan generosity. This points to a solid core insurance foundation for U.S.-based roles.
  • Retirement Support Current role descriptions consistently include a 401(k) with company match. This adds long‑term financial value to the overall package.
  • Leave & Time Off Breadth Certain postings specify unlimited PTO along with paid parental and bereavement leave. This breadth of time‑off options supports flexibility for varied life events.

Blue Orange Digital Insights

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The Company
HQ: New York, NY
75 Employees
Year Founded: 2015

What We Do

Blue Orange is a data science and machine learning consulting and development firm. We build modern data warehousing to support machine learning and AI. We help companies integrate these insights to drive data-driven decision making.

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