Data Analyst

We are an iGaming company with over three years of experience and a team of more than 1000+ specialists.

Our achievements include 8 major projects that are popular among our clients and successfully operate in Tier 1-3 countries.
The company attracts and values highly qualified specialists, which allows us to efficiently build processes and successfully expand our presence in new locations.

We're looking for a Data Analyst who will focus on reconciling large datasets across multiple platforms and databases. This role requires strong technical skills in SQL and Google Sheets/Excel to ensure the accuracy, consistency, and integrity of data.

The ideal candidate will be detail-oriented and experienced in identifying and resolving data discrepancies, generating actionable reports, and supporting data-driven decision-making. You’ll work closely with cross-functional teams, contribute to process optimization, and document best practices and methodologies.

Key Responsibilities

• Reconcile large datasets across databases and platforms (300+) using SQL, ensuring consistency and accuracy in data mappings and transformations.

• Generate clear, actionable reports summarizing reconciliation findings, discrepancies, and resolutions for stakeholders.

• Utilize Google Sheets/Excel to perform reconciliations, validate data, and generate supplemental reports, applying formulas (e.g., VLOOKUP, SUMIFS, FILTER).

• Query and analyze massive datasets (1M+ rows) using SQL to identify trends, discrepancies, and anomalies efficiently.

• Develop and optimize workflows for data extraction, transformation, and loading processes using scripting or integration tools.

• Investigate and resolve data discrepancies by tracing issues across source systems, platforms, and data pipelines.

• Collaborate with stakeholders to translate business requirements into technical specifications for reconciliations and reporting.

• Propose innovative solutions to streamline reconciliation processes and enhance data accuracy.

• Document technical processes, reconciliation methodologies, and data flows for transparency and scalability.

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Finance, or a related field (or equivalent experience).

Experience

• 3+ years of experience in data reconciliation, analysis, and reporting using SQL and Google Sheets/Excel.

• Demonstrated ability to manage and reconcile large datasets (1M+ rows) across multiple platforms.

Required:

• Proficiency in SQL for querying, reconciling, and validating data across relational databases.

• Proficiency in Google Sheets/Excel for reconciliation tasks and reporting, using formulas (e.g., VLOOKUP, SUMIFS, FILTER).

• Strong ability to handle and analyze massive datasets, optimizing for performance and accuracy.

• Familiarity with ETL processes and data integration tools for automation.

Additional Skills

• Detail-oriented with exceptional analytical and problem-solving skills, particularly in identifying and resolving data discrepancies.

• Proactive in proposing efficient reconciliation strategies and process improvements.

• Strong communication skills for presenting reconciliation findings and collaborating with non-technical stakeholders.

• Ability to work independently in a remote environment with minimal supervision.

• Drafting manual instructions, guidelines, process flow, checklists.

• Project management skills.