ADG Senior Analyst - Digital Analytics

Essex Lake Group; Delhi; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Essex Lake Group LLC in Gurgaon, India, is seeking a Senior Digital Analytics Analyst to own analytics workstreams across the client engagement lifecycle, from acquisition to profitability. You will analyze customer behavior, build dashboards, and deliver insights that drive business decisions.

Collaborating closely with the Digital Analytics Manager and project teams, you will ensure data quality, define KPIs, and communicate findings to stakeholders through clear storytelling and presentations.

Qualifications

• 4–6 years of digital/customer analytics experience.
• Experience in banking or financial services preferred.
• Proficient with SQL, Python, SAS and Excel.

Responsibilities

• Own analytics workstreams and deliverables for client engagements.
• Translate business questions into analytical requirements and KPI definitions.
• Work with client data using SQL, Python, SAS, Excel and BI tools.
• Develop dashboards and recurring management reports.
• Synthesize findings into clear insights and actionable recommendations.
• Present analysis and support client discussions.
• Contribute to analytics assets and best practices.

Skills

SQL

Python

SAS

Excel

Education

Bachelor's or Master's degree in Business, Economics, Statistics, Analytics, CS, Engineering

Tools

Power BI

Tableau

Job description

Position: ADG Senior Analyst - Digital Analytics

Location: Gurgaon, India

Work Mode: Work from Office (Monday-Friday)

Working Hours: 2:00 PM - 11:00 PM IST

Role Overview

The Digital Analytics Analyst will own one or more analytics workstreams and deliverables within a client engagement. The role will work closely with the Digital Analytics Manager, Associate Manager, and broader project team to understand client business problems, conduct quantitative analysis, synthesize findings, and formulate actionable recommendations.

Senior Analyst will support analysis across the end-to-end digital banking customer lifecycle, including acquisition, application conversion, account opening, funding, digital adoption, transaction behavior, ongoing engagement, retention, and customer profitability. The role combines hands‑on data analysis with dashboard and report development, data-quality review, business-rule definition, client communication, and implementation support.

Key Responsibilities

• Support digital analytics workstreams across acquisition, conversion, account opening, funding, digital adoption, engagement, retention, payments, and profitability.
• Translate business questions into analytical requirements, data needs, business rules, KPI definitions, and structured analyses.
• Work with detailed client data using SQL, Python, SAS, Excel, and visualization platforms.
• Source, prepare, transform, and validate large and granular customer or transactional datasets.
• Conduct quantitative analysis of acquisition funnels, conversion, attrition, digital adoption, customer engagement, feature performance, payment behavior, transaction patterns, and customer profitability.
• Support customer journey analysis, funnel analysis, segmentation, targeting, product adoption, and channel performance analysis.
• Contribute to campaign, product, and customer measurement frameworks, including conversion analysis, test-and-control analysis, attribution, incremental lift, and ROI measurement where relevant.
• Develop and maintain dashboards, recurring reports, visualizations, and management reporting materials.
• Perform data-quality checks and help establish consistent KPI definitions, analytical methodologies, and reporting standards.
• Synthesize findings into clear insights and practical recommendations for internal and client stakeholders.
• Prepare clear PowerPoint presentations and support analytical storytelling for stakeholder and client discussions.
• Support testing, deployment, implementation, and ongoing reporting operations for analytical solutions.
• Communicate progress, issues, dependencies, and findings clearly to project leads and client stakeholders.
• Contribute to reusable analytical assets, best practices, and capability development within the team.

Required Qualifications

• Total professional experience of 4-6 years in digital analytics, customer analytics, business analytics, business intelligence, or a related field.
• Bachelor's or master's degree in Business, Economics, Statistics, Analytics, Computer Science, Engineering, or a related discipline.
• Experience in banking, financial services, payments, fintech, or a similar customer-focused digital business.
• Experience in digital analytics and customer behavior insights.
• Working knowledge of digital acquisition, application conversion, customer engagement, product adoption, channel performance, payments, and profitability.
• Strong working knowledge of analytical and data-manipulation tools such as SQL, Python, SAS, and Excel.
• Experience with data visualization, dashboards, and reporting tools such as Power BI or Tableau.
• Hands‑on experience across the analytics lifecycle, including data preparation, analysis, visualization, testing, deployment, and reporting support.
• Experience supporting complex analytical assignments involving large and granular client datasets.
• Strong problem-solving skills and the ability to structure business problems and translate them into actionable analyses.
• Strong PowerPoint, presentation, and analytical storytelling skills.
• Proven communication, interpersonal, stakeholder-management, and collaboration skills.
• Ability to take ownership, work with limited supervision, and deliver high‑quality outputs within committed timelines.

Professional Competencies

• Willingness to work in a global client environment.
• Strong team player and hands‑on contributor.
• Well organized, structured, and detail oriented.
• Ability to work under pressure and meet committed deadlines.
• Strong written, verbal, and client communication skills.
• Comfortable collaborating with onshore and offshore delivery teams.
• Curious, adaptable, and willing to learn new analytical methods and tools.
• Commercial mindset focused on clear insights, practical recommendations, and measurable business impact.
• Willingness to contribute to training, knowledge sharing, and analytical best practices.

About Essex Lake Group LLC

With global headquarters in New York, U.S.A. and operations in India, Canada, China, and the United Kingdom, Essex Lake Group LLC ("Essex") delivers transformative profit‑enhancing solutions anchored in insights from Big Data, Advanced Analytics, and extensive executive and industry experience.

Essex's customized, battle‑tested solutions deliver measurable positive impact within 6 to 18 months. Its solutions have created substantial profit increases for clients in areas including revenue growth, cost reduction, consumer and enterprise risk management, and regulatory compliance. Every Essex solution is customized for the client and the specific problem or opportunity. Essex has proven experience across financial services, retail banking, telecommunications, insurance, healthcare, media and entertainment, and other industries.

Essex delivers visibility in complex businesses to help clients make sound business decisions. Its experienced industry experts work with clients through full implementation of solutions to ensure organizations receive the benefits of Essex's solutions and methodologies.

For more information, visit www.essexlg.com.