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The pandemic forcing everyone to work from home has not been able to hamper the data analyst's job as it is highly connected with technology. Moreover, the gigantic rise of death and number of people affected by coronavirus has demanded data analysts to evaluate the huge amount of unstructured data regarding the effects of the virus and provide people with the valuable information they need to survive this pandemic. So, the 2021 job landscape of Data analytics is looking better than ever. To become successful in a data analysis job, one must be an expert in Python, SQL and must have data visualization skills. Analytics Insight has selected the top jobs of data analytics to apply for in 2021.
Broadcast Audience Research Council (BARC) India is a joint-industry body founded by bodies that represent Broadcasters (IBF), Advertisers (ISA), and Advertising & Media Agencies (AAAI). It is also the world's largest television measurement science industry-body. It uses Audio Watermarking technology to measure the viewership of TV channels, and the system also allows the measurement of time-shifted viewing and simulcasts. The company was incorporated in 2010 and is based in Mumbai, India.
Roles and responsibilities
The person assigned with this job will have to prepare insights about upcoming trends and share them with management to help decision-making. He will drive automation to improve internal efficiencies. Self-enablement of end-user is required through compact and visualization of data and collaboration with the cross-functional teams has to done to drive quality projects.
The Data analyst will have to prepare business analytics, data modeling, and presentations and make a simplified process for the end-user. He will process automation Using R /python or any of the tools for consuming time. One will also provide reports on business metrics, including highlights and lowlights – raise alarms in advance. He must proactively identify issues and helps in finding solutions for the same. He should be a part of all key projects and drive for closure. One would have to impart training to end-user regarding automation.
Relevant Experience
The applicator should have at least 2 to 4 Years of Experience.
Skills
He should have R /Python skills and be an expert in the MS office. He should also have a better understanding of Business Processes.
Apply here.
Impetus is focused on creating big business impact through big data solutions for Fortune 1000 enterprises. The company offers a unique mix of software products, consulting services, data science capabilities, and technology expertise.
Required skills
The applicator should have strong programming experience with Python OR Pyspark. One must have experience working with Big Data streaming services such as Kinesis, Kafka, Storm, etc. along with NoSQL data stores such as HBase, DynamoDB, etc. One would need to have experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.) and also with SQL and SQL Analytical functions and experience participating in key business, architectural and technical decisions. One should know how to build and implement the solution. This requires being hands-on to build in quick prototypes/proof of concepts data processing benchmarks. One would have to support continuous improvement by investigating alternatives and technologies and presenting these for architectural review. One will be developing Object-oriented, multi-tier applications in a complex architectural landscape.
Relevant Experience
The applicator should have 2-8 years of experience.
Apply here.
Reliance Jio Infocomm Limited, doing business as Jio, is an Indian telecommunications company and a subsidiary of Jio Platforms, headquartered in Mumbai, Maharashtra, India. It operates a national LTE network with coverage across all 22 telecom circles. It does not offer 2G or 3G service, and instead uses only voice over LTE to provide voice service on its 4G network.
Role
The company is looking for a self-driven Lead Data Scientist with a "Can-Do" and "Can-Share" attitude to accelerate solving the complex problems at the scale of India. Jio Big Data Lake is the central data hub inside Jio. This role will give a person the opportunity to work across a wide variety of technology domains.
Responsibilities
The data scientist would have to work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. One would have to conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. One needs to build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of algorithms, data structures, and metrics, advocating for changes where needed for product development. One also needs to do research and develop analysis and optimization methods to improve the quality of Jio's user-facing developer-facing and business/operation facing products.
Skills required
The applicator should have experience in NLP, Machine Learning, Deep learning, AI, Python, SQL/NoSQL Databases, Distributed Systems, and Cloud Native Micro Services.
Qualifications
The applicator must have 6 to 9 years of experience required in the Data Science field with a very good academic background.
Work location
Navi Mumbai, Bangalore, Hyderabad
Apply here.
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Its unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 194 on the Fortune 500 and is consistently listed among the most admired companies in the world.
Business Skills
The business intelligence analyst should have an understanding of trade life cycle events and front office to back-office system flows and should know about other financial data such as Balance Sheet, Risk-Weighted Assets, P&L, etc. One should possess working knowledge of data analysis, management, and governance concepts and tools. One must understand the contemporary requirement's elicitation, analysis, specifications, verification, and management practices and have the ability to apply them in practice. One should have a familiarity with requirements engineering books and resources.
Technical Skills
The applicator should have proficiency with Excel, MS Word, MS Visio, and PowerPoint. He should possess basic SQL skills with the ability to extract and analyze large volumes of data using Oracle or Sybase databases. One should have experience in creating interface specification documents, attribute mapping documents, functional specifications. He must have experience of using JIRA, ALM Quality Centre (or equivalent tools). One should be familiar with creating Gliffy Diagram and Balsamiq Wireframes.
Apply here.
Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. With over 325 years of history and expertise in banking, Barclays operates in over 40 countries and employs approximately 83,500 people. Barclays moves, lends, invests, and protects money for customers and clients worldwide.
Location
Noida
Responsibilities
The applicator would have to provide development and implementation support to key treasury models, including driver-based models for projecting Barclay's balance sheet. One would have to implement and design statistical projection model code within an IT infrastructure related to CCAR, IRRBB, and IFRS9 regulatory requirements and Treasury functions. One must handle the maintenance and design of the QA Asset & Liability Management quantitative library, ensuring an efficiently organized library and adherence to coding standards, regression testing, and continuous integration. This library supports quantification of Barclays funding and capital plans, forward-looking impairments, and pricing of liquidity and funding risk associated with the bank's asset/liability profile. One should develop a statistical modeling library to support the quick and efficient determination of statistical models used in Barclays Treasury.
Relevant Skills
The applicator should have experience in delivering Python-based quantitative finance models. One must know about the statistical model development and implementation. One should have knowledge of relevant regulatory guidelines for CCAR, IFRS9, and IRRBB.
Apply here.
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