Analytical Manager - AVP

Job Title: Data Analytics - AVP

Location: Bangalore, India

Skills: Data Analytics, Analytics analysis, process analytics, BRD, UAT, must have worked on
Power Bi or Tableau

Role Description

As a Data Analytics this resource will play a crucial role in analyzing data, generating reports, and delivering actionable insights to support our business objectives. This role will work collaboratively with various teams to interpret data, draw conclusions, and communicate findings effectively.

This role will play a pivotal role in driving data-driven strategies and solutions that contribute to the growth and success of the KYC operations organization. Will work closely with cross-functional teams to analyze complex datasets, build predictive models, and provide data-driven recommendations that influence business decisions.

What well offer you

As part of our flexible scheme, here are just some of the benefits that youll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

• Data Analysis: Conduct thorough data analysis of large and complex datasets, utilizing statistical methods and mathematical techniques to identify trends, patterns, correlations, and anomalies.
• Statistical Expertise: Apply advanced statistical techniques to develop and extract meaningful insights, perform hypothesis testing, and make data-driven recommendations.
• Data Visualization: Create clear and informative data visualizations and dashboards to convey insights to non-technical stakeholders.
• Data Cleaning and Preparation: Ensure data quality and integrity by cleaning and preprocessing datasets for analysis.
• Model Development: Design, develop, and implement predictive models and machine learning algorithms to solve business problems and improve decision-making.
• Reporting: Generate regular and ad-hoc reports that provide key insights and recommendations to stakeholders.
• Cross-functional Collaboration: Collaborate with cross-functional teams, including business analysts, data engineers, and stakeholders, to understand data requirements and deliver meaningful results.
• Continuous Improvement: Stay updated with the latest developments in data analysis techniques and tools to enhance analysis capabilities.

Your skills and experience

• Forward-thinker, detail-orientated, analytically minded individual with a strong background in Statistics and Mathematics.
• Passionate about extracting and uncovering valuable insights from data and providing valuable recommendations and/or turning them into actionable solutions.
• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Data Analytics, or a related discipline.
• Proven experience as a Data Analyst, with a focus on statistical analysis.
• Strong proficiency in statistical analysis tools and programming languages (e.g., Python, R).
• Exceptional analytical and problem-solving skills.
• Ability to interpret data and communicate findings effectively to both technical and non-technical audiences.
• Detail-oriented with a strong commitment to data accuracy.
• Self-motivated and able to work both independently and collaboratively.

How well support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs