Name: Jobpe
Address: T-Hub, Plot No 1/C, Sy No 83/1, Raidurgam panmaktha, Knowledge City Rd, Hyderabad, Telangana, 500081, IN
Telephone: +91-83339-09630
Price range: Free

Operations Manager-Support Services-Operations Kotak Life Insurance

2.0 - 6.0 years

1 - 5 Lacs

vapi

Work from Office

About The Role Operations Manager - Support Services-Operations Job Requirements: 1. Pre disbursement KYC checking, agreement book and RTO set, verifications 2. Verification of documents, asset details and loading the documents in system 3. Handling the operations team 4. Checking and releasing the payouts after checking the Post disbursement documents. 5. Checking the NACH documents and cheques 6. Handling the high volume in month end 7. 2 years"™ Experience in retail asset operations and disbursement related activities

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Operations Manager-Support Services-Operations Kotak Life Insurance

2.0 - 6.0 years

1 - 5 Lacs

panipat

Work from Office

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Operations Manager-Support Services-Operations Kotak Life Insurance

2.0 - 6.0 years

1 - 5 Lacs

noida

Work from Office

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Operations Manager-Support Services-Operations Kotak Life Insurance

2.0 - 6.0 years

1 - 5 Lacs

ahmedabad

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Product Analyst - Manager - Paytm App Paytm

4.0 - 5.0 years

4 - 8 Lacs

noida

Work from Office

About the team : Being one of the largest payment platforms in the country, we aim to not only ensure a seamless experience, but also a delightful journey for our customers. We strive to enrich the customer experience by making every transaction transparent, honest, and hassle-free. The app product team ensures to deliver an outstanding user experience to the Paytm Customers by understanding the user, discerning their use patterns, and designing an app that meets their user's needs. About the Role: Business analyst focuses on data, statistical analysis and reporting to help investigate and analyze business performance, provide insights, and drive recommendations to improve performance. 1. Setup & maintain passbook dashboards for core passbook metrics 2. Helps with analytics tasks involving passbook accounts section where we track different user actions like check bal, CTR on growth cards to report & build subsequent funnels 3. Helps with analytics pipeline setup for new features like - new passbook revamp, hide payments, spend analytics, UPI statement email & download, add/edit tags, etc. 4. Owns production pipelines for email statements & suggestions within to-mobile screens & is actively closing the work on pipeline setup for reminders data which was earlier shared by DS 5. Helps with driving areas which are analytics driven like - CST tickets reduction flows, check balance loop creation flows, etc. 6. Also w help in setting up exhaustive analytics for new roadmap items like - Account aggregator, Cross-sell, etc. 7. Ad-hoc data requests for passbook Expectations/ Requirements: 1. Derive business insights from data with a focus on driving business level metrics. 2. Ability to interact and convince business stakeholders. 3. Developing insightful analysis about business and their strategic and operational implications. 4. Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs. 5. Analyze data from multiple angles, looking for trends that highlight areas of concerns or opportunities. 6. Design, create and deliver data reports, dashboards, extract and/or deliver presentations to strategic questions. 7. Identifying data needs and driving data quality improvement projects. Key Skills Required: 1.Ideally have 4-5 years experience working on data analytics and business intelligence. Candidates from b2c consumer internet product companies are preferred. 2. Proven work experience on MS Excel, Google analytics, SQL, Data Studio, any BI Tool, business analyst or similar role. 3. Should be comfortable working in a fast-changing environment and ambiguous. 4. Critical thinking and very detail oriented. 5. In-depth understanding of datasets, data and business understanding. 6. Capable of demonstrating good business judgement. Education: Applicants must have an engineering academic background with specialization in data science .

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