We are seeking a Data Analytics Manager to lead a team of data analysts. The ideal candidate will have a strong background in data analysis, excellent leadership skills, and a passion for transforming data into actionable insights. Reporting to the Senior Manager, Data Analytics, the Data Analytics Manager will be responsible for developing the reporting strategy and providing analytical support to the Service Delivery teams managing a growing portfolio of cutting edge AI annotation projects. This role will be key to ensuring Sama’s project teams have the insights and analytics to optimally manage and deliver our client engagements.
Key Responsibilities
Lead, mentor, and develop a team of analysts, fostering a collaborative and innovative work environment.
Collaborate with cross-functional teams to understand their analytical needs and provide insights to drive decision-making.
Design and implement data models and predictive analytics to identify patterns, trends, and opportunities for improvement.
Develop and maintain standard dashboards and reporting tools that present key metrics and insights to stakeholders.
Ensure data integrity and accuracy across all analytics processes and systems.
Stay up-to-date with industry trends and emerging technologies to enhance analytical capabilities.
Present findings and recommendations to senior management and stakeholders in a clear and concise manner.
Collaborate with the product team on data strategy, requirements gathering and prioritization of data analytics initiatives.
Qualifications
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s degree preferred.
5-6 years of experience in data analysis, with 1-2 years in a managerial or leadership role.
Proficient in data analysis tools and programming languages such as SQL, Python, R, or similar.
Experience with data visualization tools (e.g., Looker, Power BI, Data/Looker Studio) and ETL processes.
Strong analytical skills with the ability to interpret complex data sets and communicate insights effectively.
Excellent problem-solving skills and attention to detail.
Strong interpersonal and communication skills, with the ability to influence stakeholders at all levels.
Data engineering experience – ability to model data and understand how to efficiently create resilient data pipelines
Experience with financial data reporting is an added advantage
BPO Experience is a nice to have
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