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Job Title:- Head of Analytics
Job Location:- Bangalore - On - site
About Qrata:
Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up
We are currently scouting for Head of Analytics
Our Client Story:
Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.
We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.
1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards
2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites
3. A Card for Everything Enable customer purchases, both large and small
4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc
5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections
6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you
What you will do:
We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business
Qualification:
- Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
- Proven experience (7+ years) in leading analytics teams in the credit card industry
- Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
- Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
- Experience with analytics tools such as SAS, SPSS, or Tableau
- Excellent leadership and team management skills, with a track record of building and developing high-performing teams
- Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
- Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience
What you can expect:
1. Develop and implement Analytics Strategy:
o Define the analytics roadmap for the credit card business, aligning it with overall business objectives
o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business
o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives
2. Lead Data Analysis and Insights:
o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation
o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities
o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies
o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information
3. Drive Data Governance and Quality:
o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms
o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities
o Establish and enforce data privacy and security protocols to comply with regulatory requirements
4. Team Leadership and Collaboration:
o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning
o Provide guidance and mentorship to the team, promoting professional growth and development
o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives
5. Stay Updated on Industry Trends:
o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry
o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools
For more Opportunities Visit: Qrata Opportunities.
- At least 4 to 7 years of relevant experience as Big Data Engineer
- Hands-on experience in Scala or Python
- Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
- Strong programming experience in building applications/platform using Scala or Python.
- Experienced in implementing Spark RDD Transformations, actions to implement business analysis
We are specialized in productizing solutions of new technology.
Our vision is to build engineers with entrepreneurial and leadership mindsets who can create highly impactful products and solutions using technology to deliver immense value to our clients.
We strive to develop innovation and passion into everything we do, whether it is services or products, or solutions.
Supporting today’s data driven business world, our client acts as a full-stack data intelligence platform which leverages granular and deep data from various sources, thus helping the decision-makers at the executive level. Their solutions include supply chain optimization, building footprints, track construction hotspots, real estate, and lots more.
Their work embeds geospatial analytics, location intelligence and predictive modelling in the foundations of economic modelling and evaluation theory to build data intelligence layers for their clients which include governments, multilateral institutions, and private organizations.
Headquartered in New Delhi, our client works as a team of economists, data scientists, geo-spatial analysts, etc. Their decision-support system includes Big-Data, predictive modeling, forecasting, socio economic dataset and many more.
As a Senior Manager– Data Intelligence, you will be responsible for contributing to all stages of projects– conceptualizing, preparing work plans, overseeing analytical work, driving teams to meet targets and ensuring quality standards.
What you will do:
- Thoroughly understanding the data processing pipeline and troubleshooting/problem-solving the technical team
- Acting as SPOC for client communications across the portfolio of projects undertaken by the organization
- Contributing to different aspects of organizational growth– team building, process building, strategy and business development
Desired Candidate Profile
What you need to have:- Post-graduate degree in relevant subjects such as Economics/ Engineering/ Quantitative Social Sciences/ Management etc
- At least 5 years of relevant work experience
- Vast experience in managing multiple client projects
- Strong data/quantitative analysis skills are a must
- Prior experience working in data analytics teams
- Credible experience of data platforms & languages in the past
Job ID: RP100
Work Location: Remote
Required Experience: 4 to 7 years
Job Description
- Must have Google Cloud Big Query experience
- Strong experience with data analysis, data modeling and governance, with excellent analytical and problem-solving abilities
- Good knowledge of Data Warehouses, data flow ETL pipelines
- Design, configuration/administration of database software in Cloud platform.
- Monitoring, Troubleshooting, and Performance tuning the DB objects.
- Experience on Table Partition, Clustered Table, Materialized View, External Tables etc.
Anyone RDBMS technologies
- Good experience in DB design with knowledge of ER Diagram, PK/FK, Stored procedure, Function, Triggers, and Indexes.
- Understanding the requirement of the App team and creating the necessary DB objects by following the best practices.
- Managing logins and database users, as well as database roles, application roles, and other security principles within the database.
- Deep knowledge about Indexes, Performance tuning, and Complex SQL Query patterns.
- Monitoring, Tuning, and Troubleshooting the database-related issues.
About Us:
Mobile programming LLC is a US-based digital transformation company. We help enterprises transform ideas into innovative and intelligent solutions, governing the Internet of Things, Digital Commerce, Business Intelligence Analytics, and Cloud Programming. Bring your challenges to us, we will give you the smartest solutions. From conceptualizing and engineering to advanced manufacturing, we help customers build and scale products fit for the global marketplace.
Mobile programming LLC has offices located in Los Angeles, San Jose, Glendale, San Diego, Phoenix, Plano, New York, Fort Lauderdale, and Boston. Mobile programming is SAP Preferred Vendor, Apple Adjunct Partner, Google Empaneled Mobile Vendor, and Microsoft Gold Certified Partner.
• Responsibilities:
o Should be able to work with API, shards etc in Elasticsearch.
o Write parser in Logstash
o Create Dashboards in Kibana
• Mandatory Experience.
o Must have very good understanding of Log Analytics
o Hands on experience in Elasticsearch, logstash & Kibana should be at expert level
o Elasticsearch : Should be able to write Kibana API
o Logstash : Should be able to write parsers.
o Kibana : Create different visualization and dashboards according to the Client needs
o Scripts : Should be able to write scripts in linux.
Only a solid grounding in computer engineering, Unix, data structures and algorithms would enable you to meet this challenge. 7+ years of experience architecting, developing, releasing, and maintaining large-scale big data platforms on AWS or GCP Understanding of how Big Data tech and NoSQL stores like MongoDB, HBase/HDFS, ElasticSearch synergize to power applications in analytics, AI and knowledge graphs Understandingof how data processing models, data location patterns, disk IO, network IO, shuffling affect large scale text processing - feature extraction, searching etc Expertise with a variety of data processing systems, including streaming, event, and batch (Spark, Hadoop/MapReduce) 5+ years proficiency in configuring and deploying applications on Linux-based systems 5+ years of experience Spark - especially Pyspark for transforming large non-structured text data, creating highly optimized pipelines Experience with RDBMS, ETL techniques and frameworks (Sqoop, Flume) and big data querying tools (Pig, Hive) Stickler of world class best practices, uncompromising on the quality of engineering, understand standards and reference architectures and deep in Unix philosophy with appreciation of big data design patterns, orthogonal code design and functional computation models |
About -
https://www.logixhealth.com/" target="_blank">https://www.logixhealth.com/Relevant Years of Exp - Minimum 4-8 years of experience in data analysis, data reporting, identify and analyze pattern/trends.Knowledge Skill Sets -§ Experience with Tableau dashboard
§ Careful and attentive to details
§ Willing and eager to call out mistakes
§ Beginner to intermediate knowledge of relational databases, reporting, business intelligence
§ Professional communicator
§ Inquisitive/Curious readily asking questions about anything that doesn’t make sense or feels right
§ Good interpersonal skills with a proven ability to communicate effectively (both written and verbal).
§ Well-developed skill in MS Excel
§ Displays awareness of the need for confidentially in sensitive matters.
§ Eye for detailing.Role Description -§ Execute tasks assigned by reporting manager and/or Bedford SPOC
§ Identify, analyze, and interpret trends or patterns
§ Audit and report discrepancies/inconsistencies in Tableau reports/dashboards
§ Publish weekly/monthly reports in pre-defined format and frequency to reporting managerJob Purpose -§ Prepare reports using Tableau for delivery to clients
§ Adjust parameters and prepare custom reports using previously built dashboards.
§ Print reports to PDF and deliver to folders on a predetermined schedule
§ Become familiar with Tableau - our clients, created workbooks, parameters, filters, and databases
§ QA existing dashboards and look for inconsistencies in naming, filters, charts, tables, etcNote - Looking for Immediate joiner with N.P. of 30 days.Timing - US shift (6 p.m. - 3.30 a.m.)Benefits - Transport facility + Night shift Allowance.Location - Domlur.Working - 5 days.Reach me ASAP if exploring opportunity with updated resume -
--Thanks and Regards,M.SwatiAssociate Consultant#intelligenthiringIndia | Singaporehttp://www.turtlebowl.com/" target="_blank">www.turtlebowl.com
at Bigdatamatica Solutions Pvt Ltd
Top MNC looking for candidates on Business Analytics(4-8 Years Experience).
Requirement :
- Experience in metric development & Business analytics
- High Data Skill Proficiency/Statistical Skills
- Tools: R, SQL, Python, Advanced Excel
- Good verbal/communication Skills
- Supply Chain domain knowledge
*Job Summary*
Duration: 6months contract based at Hyderabad
Availability: 1 week/Immediate
Qualification: Graduate/PG from Reputed University
*Key Skills*
R, SQL, Advanced Excel, Python
*Required Experience and Qualifications*
5 to 8 years of Business Analytics experience.