Someone who has prior experience in Product Analytics/Marketing Analytics/Growth Analytics/Consumer analytics domain.
Has the ability to define success metrics for different initiatives or campaigns, drive ROI analysis & provide recommendations.
Strong analytics acumen and problem solving skills.
Good understanding of Clickstream/App events data, ability to build and understand user journeys across platforms.
Understanding of LTV modelling
Strong SQL skills and comfortable with python programming.
Basic knowledge of different regression models & clustering techniques.
About Tata digital
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Brief:
As a BI Developer at GradRight, you’ll be working with Tableau and supporting data sources to build reports for the requirements of various business teams.
Responsibilities:
- Translate business needs to technical specifications for reports and dashboards
- Design, build and deploy BI solutions
- Maintain and support data analytics platforms (e.g. Tableau, Mixpanel, Google Analytics, etc)
- Evaluate and improve existing BI systems
- Collaborate with teams to integrate systems
- Develop and execute database queries, conduct analysis and prepare data to be shared with respective stakeholders
- Create visualizations and reports for requested projects
- Develop and update technical documentation around reports
Requirements:
- At least 3 years of proven experience as a BI Developer
- Experience at a startup
- Background in data warehouse design (e.g. dimensional modeling) and data mining
- In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
- Working knowledge of Tableau
- Knowledge of SQL queries and MongoDB
- Proven abilities to take initiative and be innovative
- Analytical mind with a problem-solving aptitude
6+ years’ experience in Azure architecture, Azure Data Services, design and development. Significant experience as DW architect on several initiatives. • Rich Data/Dimensional modeling expertise • Expert knowledge of Azure tools and services centered around data and analytics (Azure Synapse, Data Lake, Data Factory etc.) • Experience designing and building complete ETL processes moving and transforming data from ODS, Staging and Data Warehousing, cloud and hybrid. Education and Experience: • Bachelor’s Degree in computer science or related field required. • 10 or more years’ experience managing and designing systems in an enterprise infrastructure environment required.
Our client is a vertical fintech play focused on solving industry-specific financing gaps in the food sector through the application of data. The platform provides skin-in-the-game growth capital to much-loved F&B brands. Founded in 2019, they're VC funded and based out of Singapore and India-Bangalore.
Founders are the alumnus of IIT-D, IIM-B and Wharton. They have 12+ years of experience as Venture capital and corporate entrepreneurship at DFJ, Vertex, InMobi, VP at Snyder UAE, investment banking at Unitus Capital - leading the financial services practice, and institutional equities at Kotak. They've a team of high-quality professionals coming together for this mission to disrupt the convention.
As a Data Analyst - Underwriting & Risk, you will be developing a first of its kind risk engine for revenue-based financing in India and automating investment appraisals for the company's different revenue-based financing products
What you will do:
- Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria.
- Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product.
- Back-testing investment appraisal models at regular intervals to improve the same.
- Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals.
- Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle.
- Identifying relevant sub-sector criteria to score and rating investment opportunities internally.
What you need to have:
- Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory).
- Experience in working in lending/investing fintech (mandatory).
- Strong Excel skills (mandatory).
- Previous experience in credit rating or credit scoring or investment analysis (preferred).
- Prior exposure to working on data-led models on payment gateways or accounting systems (preferred).
- Proficiency in data analysis (preferred)
- Good verbal and written skills.
- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
About our Client:-
Our client is part of the global media agency with mission is to make advertising more valuable to the world. They do this by employing the world's very best talent to solve some of the toughest challenges of today's digital marketing landscape. They hire people whose values reflect those of our own: genuine, results-focused, daring and insightful. They promise you a workplace that invests in your career, cares for you and is fun and engaging.
About the role:-
- Accountable for quantifying and measuring the success of our executions and for delivering insights that enable us to innovate the work we deliver at Essence. You will be supporting analyses for campaigns and helping the development of new analytical tools.
Some of the things we’d like you to do :-
● Take ownership of delivery for designated clients/projects
● Collaborate with campaign team to identify opportunities where our analytics offering can add
value
● Gain an understanding of marketing plans and their objectives to be able to assist with comprehensive measurement, and test & learn plans
● Develop analytical techniques to analyze results from experiments/studies/observations
● Explore methods/techniques for solving business problems given the data available (potentially 3rd party)
● Help internal and external clients understand the capability and limitations of methods used
● Develop and present compelling and innovative presentations.
A bit about yourself :-
● Degree from a top-tier College, 3.0 GPA or equivalent (preferably numerical)
● Proficiency with systems such as SQL, Social Analytics tools (Crimson Hexagon), Python, and ‘R’
● Have some understanding of marketing campaigns and their objectives
● Strong analytical skills - ability to analyze raw data, find insights, and provide actionable strategic recommendations
● Ability to manage someone effectively to bring out the best in their skill sets, motivating them to succeed, and keeping their focus
● Strong work ethic, with ability to manage multiple projects, people, and time zones to meet deadlines and deliver results
Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
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Interpret data, analyze results using statistical techniques and provide ongoing reports
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Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
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Acquire data from primary or secondary data sources and maintain databases/data systems
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Identify, analyze, and interpret trends or patterns in complex data sets
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Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
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Work with management to prioritize business and information needs
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Locate and define new process improvement opportunities
Requirements
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Proven working experience as a Data Analyst or Business Data Analyst
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https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertise regarding data models, database design development, data mining and segmentation techniques
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Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
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Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
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Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
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Adept at queries, report writing and presenting findings
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BS in Mathematics, Economics, Computer Science, Information Management or Statistics
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Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ ) and frameworks (e.g. J2EE or .NET)
- Expecting a minimum of 2-4 years of relevant experience
- You will be managing a team of 3 currently
- Take up the ownership of developing and managing one of the largest and richest food (recipe, menu, and CPG) databases
- Interactions with cross-functional teams (Business, Food Science, Product, and Tech) on a regular basis to pan the future of client and internal food data management
- Should have a natural flair for playing with numbers and data and have a keen eye for detail and quality
- Will spearhead the Ops team in achieving the targets while maintaining a staunch attentiveness to Coverage, Completeness, and Quality of the data
- Shall program and manage projects while identifying opportunities to optimize costs and processes.
- Good business acumen, in creating logic & process flows, quick and smart decision-making skills are expected
- Will also be responsible for the recruitment, induction and training new members as well
- Setting competitive team targets. Guide and support the team members to go the extra mile and achieve set targets
Added Advantages :
- Experience in a Food Sector / Insights company
- Has a passion for exploring different cuisines
- Understands industry-related jargons and has a natural flair towards learning more about anything related to food