data Team lead

Data Team Lead

Responsibilities 

Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.

Coordinating with CRM team  to ensure that current technology can support the department’s goals

Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, and marketing teams.

Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.

Managing and organizing work, developing individuals, and delegating day-to-day work and responsibility effectively.

Managing and organizing projects, working collaboratively, and harnessing the capability of others to achieve the desired outcomes.

Managing a CRM of data-related queries, in a fast-paced environment to deliver on all agreed KPIs/SLAs, whilst acting as a mentor for the team.

Conducting analysis of data to produce reports that help businesses make decisions

Developing data models for specific business problems

Build, develop and maintain data models, reporting systems, data automation systems, dashboards, and performance metrics support that support key business decisions.

Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.

Recruit, train, develop and supervise analyst-level employees.

Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization, and communication deliverables.

Anticipate future demands of initiatives related to people, technology, budget, and business within your department and design/implement solutions to meet these needs.

Qualification

Bachelor's Degree in Engineering or Mathematics (computer engineering or MIS is a plus),

A minimum of 2 years of Data Management experience required

Minimum of 5 years of quantitative business analytics, with demonstrated ability to synthesize information from multiple sources and deliver strategic recommendations using predictive analytics

Having expertise in performing complex analysis, developing new perspectives and methods,

Experience with electronic Clinical Database Systems is required and experience with electronic reporting applications preferred.

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

Clearly articulate data expertise work to non-data expert business owners and business work to data expert

Speaking and writing in English with ease (B2 level minimum)