Job Description

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Job Title: Analytics Analyst, AS
Location: Bangalore, India
Role Description
Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business.
Work includes:

• Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques
• Examining and identifying data patterns and trends to help answer business questions and improve decision making
• Identifying areas to increase efficiency and automation of data analysis processes
• Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on:
• Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets
• Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
• Representing the bank as a data science practitioner in industry initiatives
• At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics

What we'll offer you
As part of our flexible scheme, here are just some of the benefits that you'll 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
Programming & Scripting:

• Strong Python programming skills for data analysis, automating tasks and building custom solutions.
• Strong SQL knowledge
• Experience with shell Alteryx and Tableau and added advantage.

Data Analysis & Interpretation:

• Ability to identify trends, patterns, and insights from data.
• Strong analytical and problem-solving skills.

Data Preparation & Transformation:

• Proficiency in data cleansing, transformation, and integration from various sources.
• Experience with data wrangling, including handling missing values, outliers, and data type conversion.

Data Visualization & Reporting:

• Ability to communicate insights effectively through data storytelling.
• Expertise in creating interactive dashboards, visualizations, and reports.

Communication & Collaboration:

• Ability to clearly communicate findings and recommendations to both technical and non-technical audiences.
• Ability to work effectively in a team environment.

Tools Mentioned:

• Python: For coding, advanced analytics, reporting, visualization and automation.
• SQL : Advanced for data extraction, manipulation, integration
• Alteryx: For data preparation, transformation, and integration.
• Tableau: For data visualization and reporting.

Your skills and experience

• 5-8+ years of proven experience in developing and working on Python
• A solid understanding of SQL, relational database management system, data modeling
• Experience working on Alteryx and Tableau an added advantage
• Strong communication skills.
• Attention to detail and accuracy.

How we'll 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

About us and our teams
Please visit our company website for further information:
We strive for a in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.