Assistant Manager - Analytics & Business Intelligence

at Home Credit

Posted by Garima Singh

Responsibilities: Complete accountability for delivering 1-2 projects from conception to implementation Managing the team of Associates and Senior Associates Interviewing client intelligently to learn important figures and gather requirements Managing project timing, client expectations and meeting deadlines Creating smart & impactful PowerPoint presentations Playing proactive role in business development (preparing sales collaterals, pitch documents etc.) and organization building (training, recruitment etc.) Presentation of final results to the client and discuss further opportunities within/outside the project along with maintaining documentation and reports Plan deliverables and milestones for the project that you are responsible for Provide business analysis and business area assessment Facilitate meetings within the team on regular basis Track and report team hours Behavioural Competences: This candidate must have the ability to think strategically and analytically in order to effectively assess each assignment Excellent written and oral communication skills Ability to work in tight deadlines & under pressure Excellent interpersonal & organizational skills Good listening and comprehension and management skills Willingness to travel/work abroad

Job Description for Data Scientist/ NLP EngineerResponsibilities for Data Scientist/ NLP EngineerWork with customers to identify opportunities for leveraging their data to drive businesssolutions.• Develop custom data models and algorithms to apply to data sets.• Basic data cleaning and annotation for any incoming raw data.• Use predictive modeling to increase and optimize customer experiences, revenuegeneration, ad targeting and other business outcomes.• Develop company A/B testing framework and test model quality.• Deployment of ML model in production.Qualifications for Junior Data Scientist/ NLP Engineer• BS, MS in Computer Science, Engineering, or related discipline.• 3+ Years of experience in Data Science/Machine Learning.• Experience with programming language Python.• Familiar with at least one database query language, such as SQL• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,Search Indexing & Fuzzy Matching.• Excellent written and verbal communication skills for coordinating acrossteams.• Willing to learn and master new technologies and techniques.• Knowledge and experience in statistical and data mining techniques:GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.• Experience with chatbots would be bonus but not required

Roles and Responsibilities:• Responsible for developing and maintaining applications with PySpark  • Contribute to the overall design and architecture of the application developed and deployed. • Performance Tuning wrt to executor sizing and other environmental parameters, code optimization, partitions tuning, etc. • Interact with business users to understand requirements and troubleshoot issues. • Implement Projects based on functional specifications.Must Have Skills: • Good experience in Pyspark - Including Dataframe core functions and Spark SQL • Good experience in SQL DBs - Be able to write queries including fair complexity. • Should have excellent experience in Big Data programming for data transformation and aggregations • Good at ETL architecture. Business rules processing and data extraction from Data Lake into data streams for business consumption. • Good customer communication. • Good Analytical skills

Ganit Inc. is the fastest growing Data Science & AI company in Chennai. Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics. We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite. We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.   Started with 3 people, the company is fast growing with 100+ employees   1. What do we expect from you   - Should posses minimum 2 years of experience of data analytics model development and deployment - Skills relating to core Statistics & Mathematics. - Huge interest in handling numbers - Ability to understand all domains in businesses across various sectors - Natural passion towards numbers, business, coding, visualisation   2. Necessary skill set:   - Proficient in R/Python, Advanced Excel, SQL - Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions - Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc. - Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities) - Should have handled large datasets and with through understanding of SQL - Ability to handle a team of Data Analysts   3. Good to have skill set:   - Microsoft PowerBI / Tableau / Qlik View / Spotfire   4. Job Responsibilities:   - Translate business requirements into technical requirements - Data extraction, preparation and transformation - Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation - Create and implement data models - Interact with clients for queries and delivery adoption   5. Screening Methodology   - Problem Solving round (Telephonic Conversation) - Technical discussion round (Telephonic Conversation) - Final fitment discussion (Video Round

Position: Data Engineer  Location: Chennai- Guindy Industrial EstateDuration: Full time roleCompany: Mobile Programming (https://www.mobileprogramming.com/) Client Name: Samsung We are looking for a Data Engineer to join our growing team of analytics experts. The hire will beresponsible for expanding and optimizing our data and data pipeline architecture, as well as optimizingdata flow and collection for cross functional teams. The ideal candidate is an experienced data pipelinebuilder and data wrangler who enjoy optimizing data systems and building them from the ground up.The Data Engineer will support our software developers, database architects, data analysts and datascientists on data initiatives and will ensure optimal data delivery architecture is consistent throughoutongoing projects. They must be self-directed and comfortable supporting the data needs of multipleteams, systems and products.Responsibilities for Data Engineer Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes,optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of datafrom a wide variety of data sources using SQL and AWS big data technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customeracquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist withdata-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building andoptimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems.Qualifications for Data Engineer Experience building and optimizing big data ETL pipelines, architectures and data sets. Advanced working SQL knowledge and experience working with relational databases, queryauthoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes toanswer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency andworkload management. A successful history of manipulating, processing and extracting value from large disconnecteddatasets. Working knowledge of message queuing, stream processing and highly scalable ‘big data’ datastores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment.We are looking for a candidate with 3-6 years of experience in a Data Engineer role, who hasattained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Spark, Kafka, HBase, Hive etc. Experience with relational SQL and NoSQL databases Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc.Skills: Big Data, AWS, Hive, Spark, Python, SQL

If you are an outstanding ETL Developer with a passion for technology and looking forward to being part of a great development organization, we would love to hear from you. We are offering technology consultancy services to our Fortune 500 customers with a primary focus on digital technologies. Our customers are looking for top-tier talents in the industry and willing to compensate based on your skill and expertise. The nature of our engagement is Contract in most cases. If you are looking for the next big step in your career, we are glad to partner with you.    Below is the job description for your review. Extensive hands- on experience in designing and developing ETL packages using SSIS Extensive experience in performance tuning of SSIS packages In- depth knowledge of data warehousing concepts and ETL systems, relational databases like SQL Server 2012/ 2014.

ETL Developer – Talend Job Duties: ETL Developer is responsible for Design and Development of ETL Jobs which follow standards, best practices and are maintainable, modular and reusable. Proficiency with Talend or Pentaho Data Integration / Kettle. ETL Developer will analyze and review complex object and data models and the metadata repository in order to structure the processes and data for better management and efficient access. Working on multiple projects, and delegating work to Junior Analysts to deliver projects on time. Training and mentoring Junior Analysts and building their proficiency in the ETL process. Preparing mapping document to extract, transform, and load data ensuring compatibility with all tables and requirement specifications. Experience in ETL system design and development with Talend / Pentaho PDI is essential. Create quality rules in Talend. Tune Talend / Pentaho jobs for performance optimization. Write relational(sql) and multidimensional(mdx) database queries. Functional Knowledge of Talend Administration Center/ Pentaho data integrator, Job Servers & Load balancing setup, and all its administrative functions. Develop, maintain, and enhance unit test suites to verify the accuracy of ETL processes, dimensional data, OLAP cubes and various forms of BI content including reports, dashboards, and analytical models. Exposure in Map Reduce components of Talend / Pentaho PDI. Comprehensive understanding and working knowledge in Data Warehouse loading, tuning, and maintenance. Working knowledge of relational database theory and dimensional database models. Creating and deploying Talend / Pentaho custom components is an add-on advantage. Nice to have java knowledge. Skills and Qualification: BE, B.Tech / MS Degree in Computer Science, Engineering or a related subject. Having an experience of 3+ years. Proficiency with Talend or Pentaho Data Integration / Kettle. Ability to work independently. Ability to handle a team. Good written and oral communication skills.

1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)

Job description Role: Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive Designation: Manager/ Senior Manager Career Track: Expert Location: Chennai Role Description/ Responsibilities: The Industry Domain Lead will be responsible for formulating and executing the supply side/ capability build strategy for their industry. He/ she will also be responsible for driving delivery excellence in all engagements in that industry by providing expert support on generating insights and generating a compelling case for action to deliver business impact. The Industry Lead will also support the development and execution of appropriate demand side/ go-to-market strategy for driving revenue growth and penetration into existing/ new accounts. • Develop a well thought out POV on the full spectrum of problems/ opportunities in that industry and analytics solutions/ approaches that are relevant to solving them. Articulate the POV in the form of “Industry Analytics on a Page” constructs that help explain it to stakeholders covering key business challenges, metrics, levers, analytics approaches, methodologies, frameworks, tools/ assets/ solutions and impact. • Understand work done till date in the industry and collate material relevant to developing the POV in the form of case studies and collateral. • Review approaches/ methodologies/ frameworks used across engagements and develop a reference guide that can be used to standardise and drive excellence. • Evaluate tools/ assets/ solutions developed across engagements till date and recommend usage/ updates/ redesign as appropriate. • Drive delivery excellence in all engagements in the industry by active participation/ providing expert support for solving complex business problems. • Develop issue/ hypothesis trees and other relevant problem-solving approaches for addressing the business challenges. • Review and provide critical comments to delivery teams on industry factors that need to be taken into consideration for raising the bar on dashboarding, modelling, solving fuzzy problems and generating insights. • Develop relevant sales/ marketing collateral for supporting the go-to-market strategy for the industry • Track revenue and penetration into existing/ new accounts and formulate supply side approaches to drive growth around recruitment, skill building, certification, refreshes to frameworks, methodologies, tools, assets and solutions • Drive/ support proposal/ RFP response development for opportunities in the industry; support NBD and Account Management teams in sales pursuits in existing accounts • Drive/ support LatentView marketing/ sales events such as roundtables and workshops. Represent LatentView in external events/ conferences to share/ represent our POV on the industry. • Drive LatentView's consulting capability in the industry and anchor / participate actively in consulting engagements. Skill/ Experience Requirements: • Deep knowledge of the business strategy/ analytical models and approaches/ value propositions adopted by leading organizations in the industry. • Excellent understanding of the business drivers/ levers, processes in the industry and how organizations can use analytics for driving business impact. • Sound knowledge of the analytics landscape and maturity spectrum within the industry. Familiarity with the problem solving analytical techniques (math) and modelling/ visualization tools (technology) relevant to the industry. • Conviction and ability to articulate the business impact of moving up the analytics maturity curve to internal audience as well as target clients/ stakeholders. • 8+ years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data/ analytics-based decision-making framework. • Exceptional problem solving, analytical, communication and inter personal skills.

Bigdata, Business intelligence , python, R with their skills