Control Risks is seeking a highly technical, detail-oriented Data Analyst to join the Data & Technology Consulting (DTC) team.
This role is deeply embedded in data analytics, scripting, ETL workflows, and reporting.
The candidate is required to have strong skills in Python, SQL, Power BI, Microsoft Fabric, and PowerApps.
The successful candidate will play a critical role in developing and implementing data solutions that power consulting engagements.
This is not a generic data analyst role; the company is looking for a problem-solver who thrives in complex, fast-paced environments, is confident writing production-level code, and can develop intuitive, scalable reporting solutions.
Key tasks include interrogating, cleaning, and assessing structured and unstructured data for integrity, completeness, and business relevance.
The role involves building and optimizing robust ETL pipelines to normalize disparate datasets and enable downstream analysis.
The Data Analyst will write efficient SQL and Python scripts to support custom data transformations, enrichment, and automations.
Responsibilities also include designing, building, and maintaining interactive Power BI dashboards and PowerApps solutions aligned to client and internal requirements.
The candidate will interpret and analyze complex financial, operational, and transactional datasets to surface insights and support investigative work.
Documentation of methodologies, code logic, data assumptions, and business context throughout the project lifecycle is required.
Collaboration across multi-disciplinary teams to ensure timely delivery of work products and reporting solutions is essential.
Requirements:
A minimum of 3 years of hands-on experience with writing production-level SQL and Python for data transformation and automation is required.
Experience in building and maintaining ETL pipelines for large, messy, and complex datasets is necessary.
The candidate must have experience designing and deploying workflows and reports using Power BI, PowerApps, and Microsoft Fabric.
Advanced proficiency in Excel, including pivoting, modeling, formulas, and data wrangling, is required.
Demonstrated experience working with relational databases and open-source tools is essential.
A strong understanding of data structures, normalization, and query optimization is necessary.
The candidate must have a proven ability to manage multiple priorities in a deadline-driven environment.
Self-motivation, a methodical approach, and a commitment to high-quality outcomes are required.
Excellent written and verbal communication skills in English are essential.
Preferred skills include experience in consulting, compliance, or risk advisory environments, comfort navigating ambiguity and changing priorities, and exposure to version control systems (e.g., Git), cloud data tools, or APIs.
Benefits:
The position offers the opportunity to work in a dynamic and fast-paced environment.
Employees will have the chance to develop and implement innovative data solutions that impact consulting engagements.
The role provides opportunities for professional growth and development in data analytics and technology.
The company fosters a collaborative work culture across multi-disciplinary teams.
Employees can expect to work with cutting-edge tools and technologies in data analytics and reporting.
