Role Title : Data AnalystReports To : Project Manager/ Database LeadDirect Reports : NAIndirect Reports : NARole PurposeThe purpose of this role is to interpret data and turn it into information (reports, dashboards, interactive visualizations, etc.)
which can offer ways to improve a business, thus affecting business decisions.DoManaging the technical scope of the project in line with the requirements at all stagesGather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends.Develop record management process and policies.Build and maintain relationships at all levels within the client base and understand their requirements.Providing sales data, proposals, data insights and account reviews to the client base.Identify areas to increase efficiency and automation of processes.Set up and maintain automated data processes.Identify, evaluate and implement external services and tools to support data validation and cleansing.Produce and track key performance indicators.Analyze the data sets and provide adequate informationLiaise with internal and external clients to fully understand data content.Design and carry out surveys and analyze survey data as per the customer requirement.Analyze and interpret complex data sets relating to customer's business and prepare reports for internal and external audiences using business analytics reporting tools.Create data dashboards, graphs, and visualizations to showcase business performance and also provide sector and competitor benchmarking.Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool.Develop predictive models and share insights with the clients as per their requirement.Stakeholder InteractionStakeholder TypeStakeholder IdentificationPurpose of InteractionInternalProject Manager/ Database LeadRegular reporting & updatesExternalClientsClient engagement, reviews, etc.DisplayLists the competencies required to perform this role effectively:Functional Competencies/ SkillLeveraging Technology - Knowledge of current and upcoming technology (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization - ExpertProcess Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk - ExpertTechnical knowledge - knowledge of various programming languages/ software (Python, Microsoft Excel, VBA, Matlab, SQL, etc.)
and tools on data analytics - ExpertCompetency LevelsFoundationKnowledgeable about the competency requirements.
Demonstrates (in parts) frequently with minimal support and guidance.CompetentConsistently demonstrates the full range of the competency without guidance.
Extends the competency to difficult and unknown situations as well.ExpertApplies the competency in all situations and serves as a guide to others as well.MasterCoaches others and builds organizational capability in the competency area.
Serves as a key resource for that competency and is recognized within the entire organization.Behavioral CompetenciesFormulation & PrioritizationClient centricityExecution ExcellencePassion for ResultsConfidenceBusiness AcumenDeliverNo.Performance ParameterMeasure1.Analyses data sets and provide relevant information to the client.No.
of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy.#J-18808-Ljbffr