Job Code | JC/2296 |
Process | WFM |
No. of Requirements | 4 |
Gender | Male / Female |
About Process | Involved in Capacity / Resource Planning & Scheduling to manage the processes and people responsible for accurate data collection, processing, modelling and analysis |
Seeing solutions in sprawling data sets and the business mind-set to convert insights into strategic opportunities for our company |
Ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow |
Use advanced data modelling, predictive modelling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes |
Apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units |
Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities |
Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions |
Design and build technical processes to address business issues |
Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics |
Recruit, train, develop and supervise analyst-level employees |
Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes |
Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables |
Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams |
Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc |
Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements |
Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs |
Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders |
Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company |
Title | Lead - WFM |
Location | Mumbai - Navi Mumbai (Ghansoli/Mahape) |
Requirement | Good Communication Skills (8/10) |
3 + years of experience into WFM |
Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources |
Should have advance knowledge of computers and Microsoft Excel |
Functional/Technical Skills: must possess strong quantitative, analytical and technical aptitude skills |
Drive for Results: must possess the ability to work under pressure, meet deadlines and be accountable for performance |
Time Management: must be able to multi-task, be detail oriented and demonstrate strong organizational skills |
Interpersonal Savvy: must demonstrate excellent interpersonal skills with all levels of organizational customers and team members |
Written Communication: must possess the ability to effectively, accurately and concisely convey thoughts and concepts, and provide information to all organization customers |
Problem Solving: must demonstrate the proactive ability to find and define problems, understand business impact, identify solutions and provide recommendations for corrective action |
Decision Quality: must possess the ability to work independently, establish priorities and demonstrate good |
Learning on the Fly: must be willing and able to take the initiative for learning, increasing knowledge and improving skills in a self-directed manner to improve performance and position added-value |
Dealing with Ambiguity: ability to adapt and excel as a team player in a fast-paced and change-oriented environment |
Willingness to work in all shifts |
Education | Graduate from any stream |
Shift Timings | 24*7 Shift |
Transport Boundaries | Upto Panvel, Upto Ghatkopar |
Transport Facility | Night shifts - Drop |
Salary range | 5.5L to 7L pa |
Weekly off | Saturday & Sunday fixed off |
Age | Upto 42 years |
USP | Salary, Brand |
Rounds of interview | HR (Check previous experience, Qualification, Age, Communication skills, Compensation, Stability) |
Operations (Process knowledge, Age, Stability, Communication skills, Compensation) |
Client (Check knowledge and experience) |
Documents | Educational + Identity Proof + Residential Proof + Offer Letter + Salary Proof (Bank Statement/Payslip) + Relieving Documents |
Clawback | 90 Days |
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