Digital and Customer Analytics Expert
BD-GPHouse, Bangladesh
Telenor
Trenger du mobiltelefon, mobilabonnement, TV eller raskere bredbånd? Sjekk priser på mobiler, abonnement og tjenester fra Telenor.Job Title: Digital and Customer Analytics Expert
Organization: Strategy and Analytics, Product
Job Location: GPHouse
Closing Date: 17-July-2025
Please attach your CV while applying for this position
Job Overview:
The Digital and Customer Analytics Expert plays a key role in shaping data-driven strategies that enhance customer experiences, drive growth, and improve overall business performance. By integrating insights across the end-to-end customer journey—including CVM campaigns, telco and digital product usage, app and platform interactions, customer segments, and operational KPIs—this role delivers actionable recommendations that support customer-centric, digital-first decision-making. The goal is to increase engagement, retention, and profitability through seamless, personalized experiences aligned with the company’s broader digital and strategic objectives.
Job Responsibilities:
Collaborate with product and marketing teams to design targeted campaigns across appropriate channels, creating relevant messaging and creative assets to drive customer acquisition and engagement.
Develop and implement strategies to attract new customers through targeted campaigns and optimized acquisition channels. Improve onboarding experiences by identifying and resolving pain points in early customer journeys.
Analyze user behavior across digital touchpoints—including MyGP, third-party recharge, and content platforms—to optimize journeys, increase engagement, and drive digital revenue.
Support digital cashback and offer strategy by evaluating performance, identifying optimization opportunities, and ensuring cost-effectiveness through data-driven recommendations.
Collaborate with digital product and platform teams to define, measure, and improve key metrics such as activation, feature adoption, repeat usage, and conversion across app and IoT experiences.
Use customer behavior data to identify churn risks, drive engagement initiatives, and support loyalty programs. Create personalized offers and experiences to increase lifetime value and reduce churn.
Leverage exploratory data analysis, visualization tools, and collaborate with data scientists to uncover trends, provide actionable insights, and support strategic business decisions.
Track key performance indicators, detect abnormalities, and generate detailed reports to inform stakeholders, ensuring alignment with strategic goals and continuous performance improvement.
Create and refine customer segmentation models to enable precise targeting and tailored experiences. Continuously adjust strategies based on customer response, segment performance, and market trends.
Analyze customer journeys from acquisition to retention, identifying touchpoints and pain points to enhance onboarding, engagement, and loyalty programs for long-term value.
Work closely with cross-functional teams, share best practices and industry insights, and implement innovative solutions to maximize campaign impact and maintain competitive advantage.
Education and Experience:
Bachelor / Masters in Business, Applied/Statistics & Computer Science is preferred.
Specialized training in Data Problem solving and Data science
Knowledge of SQL, R OR Python, and visualization tool (Power BI/Qlik/Tableau)
2 years of experience in areas such as Commercial Planning, Strategy, Product Management, Business Intelligence. Freshers are encouraged to apply.
Experience in conducting analysis using complex dataset
Understanding of revenue segments & drivers, telco-digital product & contextual offers, product lifecycle & GTM management
Understanding of competition landscape, regulatory environment, consumer insight, industry & global benchmarking.
Skills/Competencies
Excellent verbal, written, and interpersonal communication skills
Forward and innovative thinking and strategic mindset.
Strong analytical and critical thinking skills to identify issues and find effective solutions
Business and financial skills - able to assess risk and plan contingency
Comprehension of Telecommunication and Digital Business (MFS, Content platform, IoT, Lifestyle Apps)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Computer Science Data analysis EDA KPIs Power BI Python Qlik R SQL Statistics Tableau
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