Data Analytics Manager

Location

Mumbai | India

Job description

Are you ready to make your mark with a true industry disruptor? ZineOne, a subsidiary of Session AI, the pioneer of in-session marketing, is looking to add talented team members to help us grow into the premier revenue tool for e-commerce. We work with some of the leading brands nationwide and we innovate how brands connect with and convert customers.

Role Overview:

This is a hands-on manager role. As a Data Analytics Manager, you will lead a team of data analysts and work closely with various departments to ensure effective data-driven decision-making. Your responsibilities will include designing and implementing data analysis processes, managing data collection and storage, and providing actionable insights to support business objectives.

Key Responsibilities:

Team Leadership : Lead and manage a team of data analysts, providing guidance, mentorship, and support in executing analytics projects.

Data Strategy : Develop and implement data strategies to optimize data collection, storage, and analysis processes.

Data Analysis : Conduct in-depth data analysis to extract meaningful insights and trends, enabling informed decision-making.

Mine data across a variety of sources and structures to synthesize and identify patterns, trends, and relationships

Ability to “data wrangle” known or new data sources by examining data, cleanse/prepare it as needed by removing duplicates, identifying and correcting illogical entries, and creating KPIs and compound metrics used to evaluate the effectiveness and “tell the story” of each campaign

Develop ETL processes to pre-process data to ensure that ad-hoc questions can be answered rapidly

Be the analytic expert on all data sources, attributes, and internal tools for the organization as it relates to answering ad-hoc questions 

Continually innovate and enhance ROI and performance computations to create additional insights from business KPIs such as revenue or conversion lift

Create compelling and uncluttered data visualizations in presentations and dashboards allowing for a clear understanding of the overall story

Collaboration : Work collaboratively with members of multiple teams to meet aggressive goals and pre-defined measurement criteria

Balance multiple projects and accompanying timelines 

Tools and Technologies : Stay updated on the latest data analytics tools and technologies; evaluate and implement new tools to enhance analytics 

Reporting : Create and present comprehensive reports and dashboards to communicate key insights to stakeholders at all levels.

Quality Assurance : Ensure the accuracy, reliability, and integrity of the data through effective quality assurance processes.

Continuous Improvement : Identify opportunities for process improvement and optimization in data analytics practices.

Key Skills

• 10+ years of experience in Data Analysis 
• 5 + years of Expertise with Python and/or other open-source analytic languages is critical
• 2+ years of management experience
• Expertise with SQL and/or other database querying languages critical
• Understanding and working knowledge of at least one BI tool, such as Tableau, with experience in data visualization techniques
• Experience working with large data sets, ideally in a cloud environment such as AWS.
• Analytical mindset and attention to detail.

• Strong leadership and interpersonal skills.
• Problem-solving orientation.
• Ability to work collaboratively in a team-oriented environment.

• An ideal candidate would also have experience designing, measuring, and interpreting A/B tests in an e-commerce environment

• Attention to detail to identify gaps in information (e.g. data definitions not clear/missing) and resourcefulness and confidence to track down the necessary information 
• Ability and willingness to collaborate and brainstorm with internal teams to identify opportunities and solutions
• Strong organizational and oral / written communication skills to lead or facilitate discussions over the phone and with remote teams

Education and Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Experience with e-commerce and web analytics.
• Proven experience in data analytics, with a focus on team management and strategic planning.
• Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
• Excellent communication and presentation skills.
• Ability to translate complex data findings into actionable business strategies.

Benefits

• Comparable salary package and stock options
• Opportunity for continuous learning
• Fully sponsored EAP services
• Excellent work culture
• Opportunity to be an integral part of our growth story and grow with our company
• Health insurance for employees and dependents
• Flexible work hours
• Remote-friendly company

Job tags

Salary