Lead Data Analyst at TechnipFMC
Hyderabad, Telangana, India -
Full Time


Start Date

Immediate

Expiry Date

22 Mar, 26

Salary

0.0

Posted On

22 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Data Visualization, SQL, Agile Methodologies, Big Data Management, Coaching, Data Modeling, Reporting Packages, Scrum Meetings, ALM Applications

Industry

Oil and Gas

Description
Job Purpose Creates the data structures from various sources including the data infrastructure or defines new ways of capturing data to be used for analysis and runs advanced analytics models to generate insights, in accordance with TechnipFMC standards, procedures, processes, schedules, and budget, with a continuous concern for quality, targets, and customer satisfaction. Proposes and drives tactical actions.  Job Description • Coaches the Data Analyst Team.• Participates in the selection of data analytics technology with the Technical Teams.• Develops organisational policies, standards, and guidelines around data analysis.• Plans and co-ordinates the backlog with the Data Stakeholders.• Plans and leads the engagement externally to understand how TechnipFMC can collaborate digitally• Delivers the most complex data analytics and visualisations. Works with disciplines and technical teams to organize the data and analyse it in the best possible way, according to compliance and to TechnipFMC standards.  You are meant for this job if: • Bachelors in numerate subject (Computing Science, Information Technology, Science, Engineering, Business Studies).• Extensive experience of data model design.• Extensive experience of using reporting packages and querying languages such as SQL.• Experience of tracking development using ALM applications such as JIRA or ADO.• Experience of managing Data Analysts.• More than 8 years of experience.  Skills Running Scrum MeetingsAgile MethodologiesBig Data ManagementData Visualization and Presentation
Responsibilities
The Lead Data Analyst creates data structures from various sources and runs advanced analytics models to generate insights. They also coach the Data Analyst Team and develop organizational policies around data analysis.
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