Data Analyst

Dunboxed is a boutique data services firm specializing in Data Analytics, Business Intelligence, and Data Engineering. We partner with clients to transform their raw data into a strategic asset. As a lean and agile team, we pride ourselves on delivering high-impact solutions without the bureaucracy of larger corporations.

The Role

We're looking for a curious and driven Data Analyst

What You'll Do

• Translate

  client business questions into technical requirements and analytical work plans.

• Extract and Transform

  data from various sources using advanced

  SQL

  .

• Analyze

  complex datasets using

  Python

  (Pandas, NumPy) to identify trends, patterns, and anomalies.

• Design and Build

  insightful and intuitive dashboards and reports, primarily using

  Power BI

  , to communicate your findings effectively.

• Leverage AI/LLM tools

  to accelerate your workflow, from code generation and debugging to exploring innovative analytical approaches.💡

• Communicate

  your insights and recommendations clearly to both technical and non-technical stakeholders, ensuring the value of your work is understood.

• Collaborate

  closely with our engineering team to ensure data pipelines are robust and meet analytical needs.

What We're Looking For

• Proven experience

  as a Data Analyst, BI Analyst, or similar role.

• Strong proficiency in SQL

  is a must. You should be comfortable with complex joins, window functions, and CTEs.

• Hands-on experience with a data visualization tool

  (Power BI is highly preferred; Tableau or others are a plus). You believe in the power of visual storytelling.

• Practical experience using Python

  for data manipulation and analysis (experience with Pandas is essential).

• Excellent communication skills

  with the ability to present complex information in a simple, compelling way.
• A

  proactive and curious mindset

  . You're a self-starter who is passionate about solving puzzles with data.

• Familiarity with leveraging LLMs

  (e.g., ChatGPT, Copilot) in an analytics workflow is a significant advantage.

Nice to Haves

• Experience working in a consulting or client-facing environment.
• Exposure to cloud data platforms, particularly

  Microsoft Azure

  (Databricks, Data Factory).
• A basic understanding of data engineering concepts.

Why Join Dunboxed?

• Direct Impact:

  See your work directly influence our clients' business strategies.

• Lean & Agile:

  Thrive in a small, collaborative team where your voice is heard and bureaucracy is nonexistent.

• Growth Opportunity:

  Work closely with the founder and play a key role in shaping the future of a growing company.

• Continuous Learning:

  Get exposure to a variety of industries and challenging data problems.