Senior Data Analyst

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets.

Our challenge

The Senior Data Analyst will be a key contributor to the analytical functions in support of the business's strategic decision-making process. With a strong foundation in SQL and Python, the ideal candidate will possess in-depth knowledge and experience in the capital markets or banking domain. This role involves working with large datasets, extracting insights, and providing actionable recommendations to drive business growth and efficiency. Need to have strong experience in SQL (including Advanced level) and Python with Capital Markets Background

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Iselin, NJ and New York City, NY is $125k - $145k/year & benefits (see below).

The Role

Responsibilities :

• Lead the data curing and review process to prepare data for audit and develop and maintain complex SQL queries for data analysis and extraction.
• Use Python for data manipulation, cleaning, and analysis, leveraging libraries such as Pandas, NumPy, and SciPy.
• Manage and ensure the integrity of large datasets essential for analysis.
• Translate data into meaningful insights that address business questions and opportunities.
• Create and automate reports, dashboards, and visualizations using tools like Tableau, Power BI, or similar.
• Present complex analytical findings in a clear, concise manner to stakeholders and executive teams.
• Work closely with business units to identify and analyze core business processes and workflows.
• Facilitate data-driven decision-making by providing timely, accurate, and relevant information.
• Collaborate with cross-functional teams including IT, Finance, Risk Management, and Operations to support company objectives.
• Communicate complex data concepts and the implications of analyses to a non-technical audience.
• Support strategic initiatives through scenario modelling and impact analysis.
• Contribute to the development and implementation of new data analysis methodologies.
• Maintain an up-to-date understanding of the capital markets or banking industry trends, regulations, and best practices.
• Apply domain knowledge to enhance data analysis and interpretation.

Requirements:

You are:

• Bachelor's or Master's degree in Computer Science, Information Technology, Economics, Finance, Statistics, or a related field.
• Minimum of 7 years of experience in a data analysis role within the capital markets or banking sector.
• Expertise in SQL and Python is a must.
• Strong analytical and problem-solving skills.
• Experience with data visualization and business intelligence tools (e.g., Tableau, Power BI).
• Excellent verbal and written communication skills.
• Ability to work independently and manage multiple tasks and projects.
• Understanding of data warehousing and ETL processes.

It would be great if you also had:

• Knowledge of statistical modelling and machine learning techniques is a plus.

We can offer you:

• A highly competitive compensation and benefits package
• A multinational organization with 55 offices in 20 countries and the possibility to work abroad
• Laptop and a mobile phone
• 10 days of paid annual leave (plus sick leave and national holidays)
• Maternity & Paternity leave plans
• A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
• Retirement savings plans
• A higher education certification policy
• Commuter benefits (varies by region)
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
• Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
• A flat and approachable organization
• A truly diverse, fun-loving and global work culture

S- YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law .

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