કામનું વર્ણન

About the Role

Our partner company in Ireland is seeking an experienced Senior Data Analyst specializing in the fintech sector. This role provides a unique chance to develop and implement sophisticated analytics capabilities within a rapidly expanding financial technology environment. The analyst will be entrusted with converting complex financial datasets into actionable insights that underpin strategic business decisions, regulatory compliance, and operational excellence.

Collaborating closely with Finance, Accounting, and Data Engineering departments, you will architect scalable reporting solutions from inception. This position merges financial domain knowledge, data analytics, automation, and business intelligence to enhance transparency and efficiency across the company. You will ensure data integrity, prepare the company for audits, and contribute to shaping data-driven strategies vital for the business.

Key Responsibilities

Develop and sustain financial reporting structures, including comprehensive metrics frameworks, conversion funnels, dashboards, and performance reports utilizing BI platforms like Looker, Grafana, or equivalent tools.
Analyze extensive financial data from BigQuery to deliver actionable insights such as profit and loss reports, portfolio performance reviews, accounting summaries, and reports tailored for executive leadership.
Automate reporting procedures and external data exports to facilitate audit trails, regulatory compliance, and official reviews.
Collaborate with Finance and Accounting teams to gather requirements, and translate these into scalable financial data models and effective reporting systems.
Design and implement automated data quality controls, including validation checks, monitoring, and alert systems to maintain the accuracy and dependability of financial information.
Build financial forecasting models to aid business planning, covering key indicators such as lifetime value, customer retention, profitability, expected loss, among others.
Conduct advanced data analyses, anomaly detection, and experiments utilizing SQL, Python, and analytical frameworks within BigQuery.
Work alongside Data Engineering teams to refine data warehouse architectures, enhance reporting workflows, and uplift analytical capabilities.
Incorporate modern AI and analytics technologies to improve financial insights, automation, and decision-making processes.

Candidate Requirements

A minimum of 5 years’ professional experience in data analysis, financial analytics, or regulatory reporting within fintech, payments, banking, or financial services is essential.
Advanced SQL proficiency demonstrated by experience extracting, transforming, and analyzing complex datasets using BigQuery or similar platforms.
Strong skills in Python programming, including libraries like Pandas and NumPy, for advanced data exploration, modeling, and analysis.
Extensive familiarity with BI tools such as Looker, Grafana, Tableau, Power BI, or analogous platforms, especially for developing executive-level dashboards.
In-depth understanding of financial principles including profit and loss frameworks, IFRS accounting standards, and risk metrics such as Exposure At Default, Loss Given Default, and Risk-Weighted Assets.
Proven ability to define technical requirements and collaborate effectively with Data Engineering teams on data warehouse and reporting solutions.
Excellent analytical skills capable of dissecting complex datasets to identify trends and delivering clear insights.
Experience with financial compliance, auditing processes, and regulatory reporting is highly advantageous.
Preferred experience covers areas such as cryptocurrency payments, custody reconciliation, AML and transaction monitoring analytics, streaming data platforms like Kafka or Kinesis, and cloud data technologies including Spark, Snowflake, or BigQuery.
A degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative discipline is considered beneficial.

Benefits and Work Environment

Work remotely in a fully distributed, international, and agile team environment.
Receive a competitive salary commensurate with experience, skills, and individual performance.
Contribute to building analytics processes and reporting infrastructure from the ground up, with significant impact on the company’s financial reporting and compliance.
Opportunities for career advancement in technical, leadership, and cross-disciplinary fields.
Engage in a transparent, collaborative culture emphasizing experimentation, ownership, and measurable results.
Work at the forefront of finance, technology, and innovative digital financial products.

Additional Information

The recruitment process utilizes AI-enabled matching systems to efficiently and impartially evaluate candidates against core job criteria. Final hiring decisions and subsequent steps such as interviews or assessments are managed internally by the partner company.

Data privacy is rigorously protected under applicable regulations; candidates have the right to access, modify, or object to processing of their personal data at any time. Artificial intelligence tools assist in application review but human judgment governs final hiring choices.

Senior Data Analyst - Fintech