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Data Analyst Jobs in Kākināda

1 - 15 of 24
1 - 15 of 24
Search Results - Data Analyst Jobs in Kākināda
University of the People-Kākināda
Vandey provides outsourced instructional services to institutions of higher education and is seeking a candidate to work for Vandey to serve in a full-time role as a Data Analyst with the University of the People. INTRODUCTION: University...
Talent Corner HR Services Pvt Ltd-Kākināda
Root Cause Analysis.Establish and drive routine reporting cadence, data analytics, and produce dashboard reporting and other reporting artifacts to dedicatedly identify emerging risks, issues, or challenges.Actively contribute to incident investigation...
TribolaTech Inc-Kākināda
Looking for 30-45 days/joiners only. Job Title : Sr. Data Analyst Location: Remote Join our client and be part of bringing our clients' world-changing ideas to life. At our client, you have the opportunity to grow and collectively make an impact...
Talent Corner HR Services Pvt Ltd-Kākināda
Reports and verify / carry out Root Cause Analysis.  •  Establish and drive routine reporting cadence, data analytics, and produce dashboard reporting and other reporting artifacts to dedicatedly identify emerging risks, issues, or challenges.  •  Actively...
VueData-Kākināda
Job Summary We are seeking a highly skilled and detail-oriented Data Analytics Engineer to join our team. The ideal candidate will have strong expertise in Python, SQL, Power BI, DAX, Azure Data Explorer (ADX), Azure Data Factory (ADF), Cosmos DB...
Reliance Retail-Kākināda
Job Description Skills: Customer Relationship Management (CRM), Data Analysis, Retail Management Software, Merchandising, Supply Chain Management, B2B Sales, FMCG, Store operations, Company Overview Reliance Retail, India&aposs largest retailer...
foundit.in -
Grow Asia-Kākināda
data as needed, develop database logic to extract required information for reporting. The role is structured and repetitive High level of multitasking Impeccable English written/verbal skills Experience in data analytics, KPI metrics, etc. Desirable...
Reliance Industries Limited-Kākināda
Demonstrated leadership capabilities and a commitment to fostering a culture of safety excellence.  •  Proficiency in relevant software tools and technologies for data analysis and risk assessment. Interested candidates, kindly mail to enpcareers.hr@ril.com...
Conas-Kākināda
Overview: Sr. Master Data Management Analyst, with a min 3 years of experience, will ensure accurate Materials/Spare part classification, enrichment, and duplication checks in Materials/Spare part master data. This includes managing global data...
Reliance Industries Limited-Kākināda
and a commitment to fostering a culture of safety excellence.Proficiency in relevant software tools and technologies for data analysis and risk assessment.Interested candidates, kindly mail to enpcareers.hr@ril.com...
Skillioma-Kākināda
and analyze data related to candidate sourcing, placement success rates, and operational efficiency. Support strategic decision-making through data-driven insights. Qualifications: Bachelor’s degree in Business, Economics, Data Analytics, or a related field. 2...
Organic Cotton Mart-Kākināda
on performance data. Make recommendations to continually improve performance by analyzing data Analytics and Reporting: Analyze, interpret, and develop actionable strategies based on daily, weekly, and monthly analytics reports. Continuously monitor campaign...
owow-Kākināda
Key responsibilities ● Design and develop proof-of-concept AI solutions for financial management challenges ● Build AI agents using modern frameworks and best practices ● Create algorithms for financial data analysis and automation ● Implement...
Inspire Institute of Sport-Kākināda
based decision-making, using performance data to drive improvements and contribute to the overall success of IIS athletes on the national and international stage. Key Accountabilities: Performance Analysis Support: Provide comprehensive performance...
Inspire Institute of Sport-Kākināda
teams . Implement Athlete Development Plans in collaboration with coaches and analysts, ensuring strict adherence to timelines . Maintain real-time records of athlete progress, injury management, and return-to-play protocols.   3.  Data-Driven Decision...
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