Blue Orange Digital Logo

Blue Orange Digital

Data Analyst

Posted 25 Days Ago
In-Office or Remote
Hiring Remotely in Lima
64K-64K Annually
Mid level
In-Office or Remote
Hiring Remotely in Lima
64K-64K Annually
Mid level
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.
The summary above was generated by AI
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.

HQ

Blue Orange Digital New York, New York, USA Office

750 Lexington Ave, 9th floor, New York, NY, United States, 10022

Similar Jobs

15 Hours Ago
In-Office or Remote
USA
60K-69K Annually
Junior
60K-69K Annually
Junior
Logistics • Transportation
Support warehouse operations by analyzing performance data, building dashboards and reports, automating recurring reporting, validating data, and providing actionable recommendations to improve productivity, labor utilization, inventory accuracy, and service performance. Partner with operations leadership for staffing, forecasting, and continuous improvement through statistical analysis and ad hoc investigations.
Top Skills: ExcelPivot TablesPower BIPower PivotPower QuerySQLTableau
11 Days Ago
Remote
USA
Mid level
Mid level
Fintech • Information Technology
Build and maintain analytics data models, dashboards, and reports. Use SQL (Postgres, Trino, Iceberg) and dbt to power financial metrics. Perform deep-dive analyses using SQL and Python (Jupyter, Pandas) to answer business questions, operationalize data, and improve reporting and automation.
Top Skills: Apache IcebergDbtJupyterMetabaseNumpyPandasPostgresPythonSQLTrino
23 Days Ago
Remote
Mid level
Mid level
Information Technology • Consulting
Collaborate with data engineering, analytics, finance, and accounting to transform, test, document, and deploy clean data. Build and maintain models, KPIs, dashboards, and reporting solutions using dbt, Snowflake, Tableau, and CI/version control. Improve data quality, establish business definitions, mentor analysts, and communicate technical work to non-technical stakeholders while covering Central Time Zone hours.
Top Skills: DbtFivetranGitGoogle SuiteHexPythonSlackSnowflakeSQLTableau

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account