Analytics Manager [T500-21056]

Talent500 is hiring for one of its clients.

About Careem :

Careem is the internet platform for the greater Middle East region. A pioneer of the region's ride-hailing economy, Careem is expanding services across its platform to include mass transportation, delivery and payments to become the region's everyday SuperApp. Careem's mission is to simplify and improve the lives of people and build a lasting organisation that inspires. Careem was established in July 2012 and was acquired by Uber in 2020. Careem operates in over 100 cities across 14 countries and has created more than one million employment opportunities in the region.

The role is responsible for driving data-driven insights and strategies to fuel user acquisition, engagement, and retention across Careem's platform and verticals. The role holder will leverage advanced data analytics, understanding of consumer behavior, and prior grasp of key fundamental digital & growth metrics to define and analyze growth opportunities, optimize campaigns and initiatives, and improve key metrics such as CAC, conversion rate and reactivation rate.

Key Accountabilities :

Data Collection and Preparation :

Extract Data : Retrieve data from multiple sources (SQL databases, APIs, and third-party tools) to support analysis.

Data Cleaning and Wrangling : Prepare and clean datasets to ensure accuracy and usability for analysis.

Maintain Data Integrity : Regularly verify and maintain data quality, ensuring consistent and reliable information for decision-making.

Automate Data Pipelines : Develop and refine scripts to automate repetitive data tasks, improving efficiency.

Analysis and Insights :

Conduct Exploratory Data Analysis (EDA) : Perform preliminary analysis to uncover trends, patterns, and initial insights at channel, vertical, and campaign level.

A / B Testing : Design, run, and analyze A / B tests to measure the effectiveness of growth initiatives.

User Behavior Analysis : Analyze user activity, segment performance, and identify key behavior trends to support user growth, engagement, and retention.

Predictive Analysis : Apply advanced statistical techniques to forecast trends and potential outcomes.

Reporting and Visualization :

Build Dashboards : Develop and maintain dashboards (e.g., in Tableau, Power BI) to provide real-time insights to stakeholders.

Generate Regular Reports : Create and distribute weekly and monthly reports on key metrics and performance indicators.

Visualize Data : Present insights through clear visualizations to make complex data understandable and actionable.

KPI Tracking : Track and report on core growth KPIs, including retention, churn, and acquisition metrics.

Drive insight and optimization

Skills and Competencies :

4-5 years of proven experience in a similar role, preferably in a

large-scale B2C startup (Food delivery, e-commerce, gaming)

or

consumer internet business .

Well-versed in data mining, statistical modeling, and advanced data analysis.

Strong hold of

Python, SQL,

and data visualization tools.

Strong understanding of

A / B Testing,

Regression Analysis, User Segmentation,

Cohort analysis and churn modeling ,

CLTV models .

Expert in Web and mobile measurement partners (adjust, appsflyer, singular)

Good communication and story telling skills with the ability to effectively present results to both technical and non-technical audiences.