Siddhant Tiwari
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst with 1+ years in SQL & Python for FinTech & Financial Services.
Detail-oriented Data Analyst with 2+ years of experience analysing large-scale datasets, building BI dashboards, and supporting strategic decision-making in fintech and financial services environments. Proficient in advanced SQL (complex joins, window functions, CTEs, query optimisation) on ClickHouse, Starburst/Hive, and PostgreSQL; skilled in Python (pandas, NumPy, scikit-learn) for EDA, regression, classification, and predictive modelling. Experienced in designing and maintaining ETL/ELT pipelines using Apache Airflow, developing reporting frameworks, and applying diagnostic and statistical analytics to translate complex data into actionable insights. Familiar with Generative AI and LLM-based tools for AI-assisted analytical workflows. Strong foundation in A/B testing, data governance, and cross-functional agile collaboration.
JSS Academy of Technical Education
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
July 1, 2020 – August 1, 2024
Mother india public school - bazpur US Nagar
High school
April 1, 2016 – April 1, 2017
Snapmint
Data Analyst
January 1, 2026 – June 1, 2026
Bengaluru · On-site
Paytm
Risk Data Analyst
August 1, 2024 – January 1, 2026
Cultural Fit Analysis
The candidate's experience across fintech and financial services, coupled with a diverse set of technical skills, suggests adaptability to different project types and business domains. Their involvement in cross-functional collaboration and data governance aligns with a culture that values teamwork, data integrity, and responsible data usage. However, the lack of diverse project types outside of financial data analysis might indicate a narrower scope of experience for broader cultural fit in highly varied data environments.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving skills, and attention to detail, as evidenced by their work in identifying drop-off points, building risk models, and ensuring data accuracy. Their experience in cross-functional collaboration with engineering teams and communication of findings to various stakeholders indicates good teamwork and communication skills. The mention of agile environments suggests adaptability and operational fit for fast-paced teams.