Kindly note that candidates who have graduated in 2022 and 2023 only will be considered for the role who are based in Mumbai, immediate joiners
JD - Data Operations Analyst
What is the job and team like
- As a Data Operations Analyst we manage business reporting of numerous teams, constantly monitor performance
- Checking the integrity of the revenue reporting done by the different systems for the correct profitability to be
- reported to the CXOs
- Send reports periodically and alert stakeholders for changes in the key performance metrics
- Allocate efforts to different Business Implementations that help build Profit/Loss statement for the Financials.
- Track crucial data points which affect the core of the business and escalate it to senior stakeholders
Roles and Responsibilities
- Graduate in IT Background(BE/BSc IT/ BCA) 2022 and 2023 graduates only
- Executing a set of business processes daily/weekly/monthly as per Business requirement.
- Provide ad-hoc data support on any urgent reports and material in an expedited manner
- Maintain a list of open tasks and escalations, and send updates to the relevant stakeholders
- Have an eye for detail, should have the ability to look at numbers, spot trends and identify gaps
- Identify efficient and meaningful ways to communicate data and analysis through ongoing reports and dashboards
- Proficiency in SQL, Excel and any statistical and analytical tools such as SAS, SPSS is a big plus
- Managing master data, including creation, updates, and deletion.
- Ability to work in a fast paced, technical, cross functional environment
- Familiarity with Internet Industry and Online Advertising Business is a plus
Ideal candidate
- Import and export large volume of data to database tables as required
- Should be able to write Data Definition Language or Data Manipulation Language SQL commands
- Develop programs, methodologies to get analyzable data on a regular basis
- Good team player and multi-tasker
- Should have the ability to learn and adapt to change
- Self-starter Must be productive with minimal direction
- High-level written and verbal communication sk
Job Details
Work mode- In office
Must have skills - SQL, MS Excel, Communications
About Media.net
Media.net is one of the Top 5 largest ad technology companies that provides advertising solutions to the largest and best know publishers (New York Times, Forbes, MSN, etc...) worldwide.
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Your Day-to-Day
- Assist our Growth Strategists in analyzing the results of A/B experiments.
- Analysis on customer engagement rates, customer acquisition projects ( ex. Churn rate prediction, Attribution etc. )
- Analyse marketing channel performance and Deep-dive reports to stakeholders and Management
- Building statistical experimentation templates for faster A/B outputs
- Work on forecasting models and assisting senior Management in creating frameworks on growth models
- Local implementation of marketing analytics projects related to improving marketing channels effectiveness, customer segmentation, campaign optimization, etc
- Monitor campaigns against key performance indicators (KPIs), be fully aware of trends and analytics, success and risks in order to achieve business objectives.
- Communicate complex ideas into understandable reports/documentation and this will include leveraging on leading software tools such as Tableau.
Your Know-Know
- 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
- Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
- Must have SQL/PostgreSQL/Tableau Experience.
- Added advantage: Experience with Google Analytics, CRM (MoEngage, Braze,Leanplum).
- Preferred knowledge of statistical computer languages (Python / R, etc).
- Analytical mindset with ability to present data in a structured and informative way
- Enjoy a fast-paced environment and can align business objectives with product priorities
Lightning job by Cutshort ⚡
As part of this feature, you can expect status updates about your application and replies within 72 hours (once the screening questions are answered)
About Us:
Virtualness is the first end-to-end decentralized web3 platform offering mobile-first generative AI creation, NFT minting, and marketplace tools in one place making it easy for any creator or brand to scale their business and easily capture the value-creation opportunity that blockchain presents. Built on the ethos of ’empathy at the core' Virtualness puts creators first, and is building the playbook for AI led
easy design, efficient sharing / social experiences and seamless digital commerce.
Job Description:
We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will possess strong analytical skills, proficiency in data manipulation and visualization tools, and a passion for deriving actionable insights from complex datasets. The Data Analyst will play a key role in interpreting data, identifying trends, and providing valuable recommendations to support strategic business objectives.
Key Responsibilities:
- Analyze large datasets to extract meaningful patterns, trends, and insights.
- Develop and maintain data models, dashboards, and reports to track key performance indicators (KPIs) and inform decision-making processes.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Perform data cleansing, transformation, and validation to ensure accuracy and consistency of data.
- Conduct ad-hoc analyses to address specific business questions and provide actionable recommendations.
- Utilize statistical techniques and predictive modeling to identify opportunities for process optimization and revenue enhancement.
- Stay updated on industry trends, best practices, and emerging technologies in data analytics and contribute to continuous improvement initiatives.
- Present findings and insights to stakeholders in a clear and compelling manner through written reports and presentations.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field; Master's degree preferred.
- Proven experience as a Data Analyst or similar role, with a track record of delivering actionable insights and driving business impact.
- Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation.
- Strong analytical skills with the ability to work with large datasets and complex data structures.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Familiarity with statistical techniques, machine learning algorithms, and data mining methods.
- Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
- Strong attention to detail and problem-solving abilities.
- Ability to work effectively both independently and as part of a team in a fast-paced environment.
Preferred Qualifications:
- Experience with cloud-based platforms such as AWS, Google Cloud Platform, or Azure.
- Knowledge of advanced analytics techniques such as predictive modeling, clustering, and segmentation.
- Previous experience in the Web3 industry is a plus.
Benefits:
- Competitive salary
- Health insurance
- Flexible work hours
- ESOPS
- Opportunities for professional growth
- Access to cutting-edge technologies
- A collaborative and innovative work environment
We are looking for a motivated data analyst with sound experience in handling web/ digital analytics, to join us as part of the Kapiva D2C Business Team. This team is primarily responsible for driving sales and customer engagement on our website. This channel has grown 5x in revenue over the last 12 months and is poised to grow another 5x over the next six. It represents a high-growth, important part of our overall e-commerce growth strategy.
The mandate here is to run an end-to-end sustainable e-commerce business, boost sales through marketing campaigns, and build a cutting edge product (website) that optimizes the customer’s journey as well as increases customer lifetime value.
The Data Analyst will support the business heads by providing data-backed insights in order to drive customer growth, retention and engagement. They will be required to set-up and manage reports, test various hypotheses and coordinate with various stakeholders on a day-to-day basis.
Job Responsibilities:
Strategy and planning:
● Work with the D2C functional leads and support analytics planning on a quarterly/ annual basis
● Identify reports and analytics needed to be conducted on a daily/ weekly/ monthly frequency
● Drive planning for hypothesis-led testing of key metrics across the customer funnel
Analytics:
● Interpret data, analyze results using statistical techniques and provide ongoing reports
● Analyze large amounts of information to discover trends and patterns
● Work with business teams to prioritize business and information needs
● Collaborate with engineering and product development teams to setup data infrastructure as needed
Reporting and communication:
● Prepare reports / presentations to present actionable insights that can drive business objectives
● Setup live dashboards reporting key cross-functional metrics
● Coordinate with various stakeholders to collect useful and required data
● Present findings to business stakeholders to drive action across the organization
● Propose solutions and strategies to business challenges
Requirements sought:
Must haves:
● Bachelor’s/ Masters in Mathematics, Economics, Computer Science, Information Management, Statistics or related field
● High proficiency in MS Excel and SQL
● Knowledge of one or more programming languages like Python/ R. Adept at queries, report writing and presenting findings
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy - working knowledge of statistics and statistical methods
● Ability to work in a highly dynamic environment across cross-functional teams; good at
coordinating with different departments and managing timelines
● Exceptional English written/verbal communication
● A penchant for understanding consumer traits and behavior and a keen eye to detail
Good to have:
● Hands-on experience with one or more web analytics tools like Google Analytics, Mixpanel, Kissmetrics, Heap, Adobe Analytics, etc.
● Experience in using business intelligence tools like Metabase, Tableau, Power BI is a plus
● Experience in developing predictive models and machine learning algorithms
Responsibilities:
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with enterprise architects to define and ensure proposed.
- Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.
- Experience leading development efforts through all phases of SDLC.
- 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
- Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
- Hands on experience in SQL, data management, and scripting (preferably Python).
- Strong data visualisation design skills, data modeling and inference skills.
- Hands-on and experience in managing small teams.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
- Preferred candidates with less than 30 days notice period.
- 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 data from 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 customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer 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 and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- 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 5+ years of experience in a Data Engineer role, who has attained 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: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- 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, C++, Scala, etc.
We are currently looking for a Junior Data Scientist to join our growing Data Science team in Panchkula. As a Jr. Data Scientist, you will work closely with the Head of Data Science and a variety of cross-functional teams to identify opportunities to enhance the customer journey, reduce churn, improve user retention, and drive revenue.
Experience Required
- Medium to Expert level proficiency in either R or Python.
- Expert level proficiency in SQL scripting for RDBMS and NoSQL DBs (especially MongoDB)
- Tracking and insights on key metrics around User Journey, User Retention, Churn Modelling and Prediction, etc.
- Medium-to-Highly skilled in data-structures and ML algorithms, with the ability to create efficient solutions to complex problems.
- Experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring and maintenance.
- Medium-to-Proficient in creating beautiful Tableau dashboards.
- Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive the required outcomes.
- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
- Proficient in at least a few of the following: regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, GLM, GLMM, clustering, Deep learning etc.
Good to Have
- Experience in one of the upcoming technologies like deep learning, recommender systems, etc.
- Experience of working in the Gaming domain
- Marketing analytics, cross-sell, up-sell, campaign analytics, fraud detection
- Experience in building and maintaining Data Warehouses in AWS would be a big plus!
Benefits
- PF and gratuity
- Working 5 days a week
- Paid leaves (CL, SL, EL, ML) and holidays
- Parties, festivals, birthday celebrations, etc
- Equability: absence of favouritism in hiring & promotion
We are looking for a savvy Data Engineer to join our growing team of analytics experts.
The hire will be responsible for:
- Expanding and optimizing our data and data pipeline architecture
- Optimizing data flow and collection for cross functional teams.
- Will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
- Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
- Experience with Azure : ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with object-oriented/object function scripting languages: Python, SQL, Scala, Spark-SQL etc.
Nice to have experience with :
- Big data tools: Hadoop, Spark and Kafka
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow
- Stream-processing systems: Storm
Database : SQL DB
Programming languages : PL/SQL, Spark SQL
Looking for candidates with Data Warehousing experience, strong domain knowledge & experience working as a Technical lead.
The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Advanced degree in computer science, math, statistics or a related discipline ( Must have master degree )
Extensive data modeling and data architecture skills
Programming experience in Python, R
Background in machine learning frameworks such as TensorFlow or Keras
Knowledge of Hadoop or another distributed computing systems
Experience working in an Agile environment
Advanced math skills (Linear algebra
Discrete math
Differential equations (ODEs and numerical)
Theory of statistics 1
Numerical analysis 1 (numerical linear algebra) and 2 (quadrature)
Abstract algebra
Number theory
Real analysis
Complex analysis
Intermediate analysis (point set topology)) ( important )
Strong written and verbal communications
Hands on experience on NLP and NLG
Experience in advanced statistical techniques and concepts. ( GLM/regression, Random forest, boosting, trees, text mining ) and experience with application.
- Excellent working knowledge on Data Warehousing /Data Migration activity using an ETL tool.
- Strong Data Integration, PostgreSQL/Oracle Database skills, Shell Scripting, Python programming, and development know-how.
- Hands-on experience in working with and generating XML documents.
- Good analytical and business process understanding capability.
- Familiarized with Data Models, Source-Target Data Mapping, Transactional, and Master Data concepts.
- Well-experienced in High level/Detailed design, Performance tuning of ETL jobs.
- Very good communication skills, interpersonal skills, stakeholder management skills, self-motivated, quick learner, team player.
- Exposure to After Sales Business Domain is highly preferred.
- Experience using HP ALM, Jira for ticketing.
- Experience release management