Data Analytics
Python
R LanguageWe 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
Subodh Popalwar
Software Engineer, Memorres
About A modern ayurvedic nutrition brand
Similar jobs
As a Database Administrator, you will be responsible for designing, testing, planning,
implementing, protecting, operating, managing and maintaining our company’s
databases. The goal is to provide a seamless flow of information throughout the
company, considering both backend data structure and frontend accessibility for end-
users. You get to work with some of the best minds in the industry at a place where
opportunity lurks everywhere and in everything.
Responsibilities
Your responsibilities are as follows.
• Build database systems of high availability and quality depending on each end
user’s specialised role
• Design and implement database in accordance to end users’ information needs
and views
• Define users and enable data distribution to the right user, in appropriate format
and in a timely manner
• Use high-speed transaction recovery techniques and backup data
• Minimise database downtime and manage parameters to provide fast query
responses
• Provide proactive and reactive data management support and training to users
• Determine, enforce and document database policies, procedures and
standards
• Perform tests and evaluations regularly to ensure data security, privacy and
integrity
• Monitor database performance, implement changes and apply new patches
and versions when required
Required Qualifications
We are looking for individuals who are curious, excited about learning, and navigating
through the uncertainties and complexities that are associated with a growing
company. Some qualifications that we think would help you thrive in this role are:
• Minimum 4 Years of experience as a Database Administrator
• Hands-on experience with database standards and end user applications
• Excellent knowledge of data backup, recovery, security, integrity and SQL
• Familiarity with database design, documentation and coding
• Previous experience with DBA case tools (frontend/backend) and third-party
tools
• Familiarity with programming languages API
• Problem solving skills and ability to think algorithmically
• Bachelor/Masters of CS/IT Engineering, BCA/MCA, B Sc/M Sc in CS/IT
Preferred Qualifications
• Sense of ownership and pride in your performance and its impact on company’s
success
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills.
Data Science
Machine Learning (ML)Pythonheads to solve complex business problems
- Develop statistical, and machine learning-based models/pipelines/methods to improve business
processes and engagements
- Conduct sophisticated data mining analyses of large volumes of data and build data science
models, as required, as part of the credit and risk underwriting solutions; customer engagement and
retention; new business initiatives; business process improvements
- Translate data mining results into a clear business-focused deliverable for decisionmakers
- Working with Application Developers on integrating machine learning algorithms and data mining
models into operational systems so it could lead to automation, productivity increase, and time
savings
- Provide the technical direction required to resolve complex issues to ensure the on-time delivery of
solutions that meet the business team’s expectations. May need to develop new methods to apply
to situations
- Knowledge of how to leverage statistical models in algorithms is a must
- Experience in multivariate analysis; identifying how several parameters can affect
retention/behaviour of the customer and identifying actions at different points of the customer lifecycle
Extensive experience coding in Python and having mentored teams to learn the same
- Great understanding of the data science landscape and what tools to leverage for different
problems
- A great structured thinker that could bring structure to any data science problem quickly
- Ability to visualize data stories and adept in data visualization tools and present insights as cohesive
stories to senior leadership
- Excellent capability to organize large data sets collected from many sources (web APIs and internal
databases) to get actionable insights
- Initiate data science programs in the team and collaborate across other data science teams to build
a knowledge database
PythonRequirements:
● Understanding our data sets and how to bring them together.
● Working with our engineering team to support custom solutions offered to the product development.
● Filling the gap between development, engineering and data ops.
● Creating, maintaining and documenting scripts to support ongoing custom solutions.
● Excellent organizational skills, including attention to precise details
● Strong multitasking skills and ability to work in a fast-paced environment
● 5+ years experience with Python to develop scripts.
● Know your way around RESTFUL APIs.[Able to integrate not necessary to publish]
● You are familiar with pulling and pushing files from SFTP and AWS S3.
● Experience with any Cloud solutions including GCP / AWS / OCI / Azure.
● Familiarity with SQL programming to query and transform data from relational Databases.
● Familiarity to work with Linux (and Linux work environment).
● Excellent written and verbal communication skills
● Extracting, transforming, and loading data into internal databases and Hadoop
● Optimizing our new and existing data pipelines for speed and reliability
● Deploying product build and product improvements
● Documenting and managing multiple repositories of code
● Experience with SQL and NoSQL databases (Casendra, MySQL)
● Hands-on experience in data pipelining and ETL. (Any of these frameworks/tools: Hadoop, BigQuery,
RedShift, Athena)
● Hands-on experience in AirFlow
● Understanding of best practices, common coding patterns and good practices around
● storing, partitioning, warehousing and indexing of data
● Experience in reading the data from Kafka topic (both live stream and offline)
● Experience in PySpark and Data frames
Responsibilities:
You’ll
● Collaborating across an agile team to continuously design, iterate, and develop big data systems.
● Extracting, transforming, and loading data into internal databases.
● Optimizing our new and existing data pipelines for speed and reliability.
● Deploying new products and product improvements.
● Documenting and managing multiple repositories of code.
DATA ENGINEER
Overview
They started with a singular belief - what is beautiful cannot and should not be defined in marketing meetings. It's defined by the regular people like us, our sisters, our next-door neighbours, and the friends we make on the playground and in lecture halls. That's why we stand for people-proving everything we do. From the inception of a product idea to testing the final formulations before launch, our consumers are a part of each and every process. They guide and inspire us by sharing their stories with us. They tell us not only about the product they need and the skincare issues they face but also the tales of their struggles, dreams and triumphs. Skincare goes deeper than skin. It's a form of self-care for many. Wherever someone is on this journey, we want to cheer them on through the products we make, the content we create and the conversations we have. What we wish to build is more than a brand. We want to build a community that grows and glows together - cheering each other on, sharing knowledge, and ensuring people always have access to skincare that really works.
Job Description:
We are seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining the data infrastructure and systems that enable efficient data collection, storage, processing, and analysis. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to implement data pipelines and ensure the availability, reliability, and scalability of our data platform.
Responsibilities:
Design and implement scalable and robust data pipelines to collect, process, and store data from various sources.
Develop and maintain data warehouse and ETL (Extract, Transform, Load) processes for data integration and transformation.
Optimize and tune the performance of data systems to ensure efficient data processing and analysis.
Collaborate with data scientists and analysts to understand data requirements and implement solutions for data modeling and analysis.
Identify and resolve data quality issues, ensuring data accuracy, consistency, and completeness.
Implement and maintain data governance and security measures to protect sensitive data.
Monitor and troubleshoot data infrastructure, perform root cause analysis, and implement necessary fixes.
Stay up-to-date with emerging technologies and industry trends in data engineering and recommend their adoption when appropriate.
Qualifications:
Bachelor’s or higher degree in Computer Science, Information Systems, or a related field.
Proven experience as a Data Engineer or similar role, working with large-scale data processing and storage systems.
Strong programming skills in languages such as Python, Java, or Scala.
Experience with big data technologies and frameworks like Hadoop, Spark, or Kafka.
Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, or Oracle).
Familiarity with cloud platforms like AWS, Azure, or GCP, and their data services (e.g., S3, Redshift, BigQuery).
Solid understanding of data modeling, data warehousing, and ETL principles.
Knowledge of data integration techniques and tools (e.g., Apache Nifi, Talend, or Informatica).
Strong problem-solving and analytical skills, with the ability to handle complex data challenges.
Excellent communication and collaboration skills to work effectively in a team environment.
Preferred Qualifications:
Advanced knowledge of distributed computing and parallel processing.
Experience with real-time data processing and streaming technologies (e.g., Apache Kafka, Apache Flink).
Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
Experience with data visualization and reporting tools (e.g., Tableau, Power BI).
Certification in relevant technologies or data engineering disciplines.
PythonData AnalyticsDATA ANALYST
About:
|
We allows customers to "buy now and pay later" for goods and services purchased online and offline portals. It's a rapidly growing organization opening up new avenues of payments for online and offline customers. |
Role:
|
Define and continuously refine the analytics roadmap. Build, Deploy and Maintain the data infrastructure that supports all of the analysis, including the data warehouse and various data marts Build, deploy and maintain the predictive models and scoring infrastructure that powers critical decision management systems. Strive to devise ways to gather more alternate data and build increasingly enhanced predictive models Partner with business teams to systematically design experiments to continuously improve customer acquisition, minimize churn, reduce delinquency and improve profitability Provide data insights to all business teams through automated queries, MIS, etc. |
Requirements:
|
4+ years of deep, hands-on analytics experience in a management consulting, start-up or financial services, or fintech company. Should have strong knowledge in SQL and Python. Deep knowledge of problem-solving approach using analytical frameworks. Deep knowledge of frameworks for data management, deployment, and monitoring of performance metrics. Hands-on exposure to delivering improvements through test and learn methodologies. Excellent communication and interpersonal skills, with the ability to be pleasantly persistent. |
Location-MUMBAI
Data ScienceMachine Learning (ML)PythonJob Location: India
Job Summary
We at CondeNast are looking for a data science manager for the content intelligence
workstream primarily, although there might be some overlap with other workstreams. The
position is based out of Chennai and shall report to the head of the data science team, Chennai
Responsibilities:
1. Ideate new opportunities within the content intelligence workstream where data Science can
be applied to increase user engagement
2. Partner with business and translate business and analytics strategies into multiple short-term
and long-term projects
3. Lead data science teams to build quick prototypes to check feasibility and value to business
and present to business
4. Formulate the business problem into an machine learning/AI problem
5. Review & validate models & help improve the accuracy of model
6. Socialize & present the model insights in a manner that business can understand
7. Lead & own the entire value chain of a project/initiative life cycle - Interface with business,
understand the requirements/specifications, gather data, prepare it, train,validate, test the
model, create business presentations to communicate insights, monitor/track the performance
of the solution and suggest improvements
8. Work closely with ML engineering teams to deploy models to production
9. Work closely with data engineering/services/BI teams to help develop data stores, intuitive
visualizations for the products
10. Setup career paths & learning goals for reportees & mentor them
Required Skills:
1. 5+ years of experience in leading Data Science & Advanced analytics projects with a focus on
building recommender systems and 10-12 years of overall experience
2. Experience in leading data science teams to implement recommender systems using content
based, collaborative filtering, embedding techniques
3. Experience in building propensity models, churn prediction, NLP - language models,
embeddings, recommendation engine etc
4. Master’s degree with an emphasis in a quantitative discipline such as statistics, engineering,
economics or mathematics/ Degree programs in data science/ machine learning/ artificial
intelligence
5. Exceptional Communication Skills - verbal and written
6. Moderate level proficiency in SQL, Python
7. Needs to have demonstrated continuous learning through external certifications, degree
programs in machine learning & artificial intelligence
8. Knowledge of Machine learning algorithms & understanding of how they work
9. Knowledge of Reinforcement Learning
Preferred Qualifications
1. Expertise in libraries for data science - pyspark(Databricks), scikit-learn, pandas, numpy,
matplotlib, pytorch/tensorflow/keras etc
2. Working Knowledge of deep learning models
3. Experience in ETL/ data engineering
4. Prior experience in e-commerce, media & publishing domain is a plus
5. Experience in digital advertising is a plus
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move
to invest heavily in understanding this data and formed a whole new Data team entirely
dedicated to data processing, engineering, analytics, and visualization. This team helps drive
engagement, fuel process innovation, further content enrichment, and increase market
revenue. The Data team aimed to create a company culture where data was the common
language and facilitate an environment where insights shared in real-time could improve
performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team
at Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and
boost online revenue. We are broadly divided into four groups, Data Intelligence, Data
Engineering, Data Science, and Operations (including Product and Marketing Ops, Client
Services) along with Data Strategy and monetization. The teams built capabilities and products
to create data-driven solutions for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse
forms of self-expression. At Condé Nast, we encourage the imaginative and celebrate the
extraordinary. We are a media company for the future, with a remarkable past. We are Condé
Nast, and It Starts Here.
PythonWe are establishing infrastructure for internal and external reporting using Tableau and are looking for someone with experience building visualizations and dashboards in Tableau and using Tableau Server to deliver them to internal and external users.
Required Experience
- Implementation of interactive visualizations using Tableau Desktop
- Integration with Tableau Server and support of production dashboards and embedded reports with it
- Writing and optimization of SQL queries
- Proficient in Python including the use of Pandas and numpy libraries to perform data exploration and analysis
- 3 years of experience working as a Software Engineer / Senior Software Engineer
- Bachelors in Engineering – can be Electronic and comm , Computer , IT
- Well versed with Basic Data Structures Algorithms and system design
- Should be capable of working well in a team – and should possess very good communication skills
- Self-motivated and fun to work with and organized
- Productive and efficient working remotely
- Test driven mindset with a knack for finding issues and problems at earlier stages of development
- Interest in learning and picking up a wide range of cutting edge technologies
- Should be curious and interested in learning some Data science related concepts and domain knowledge
- Work alongside other engineers on the team to elevate technology and consistently apply best practices
Highly Desirable
- Data Analytics
- Experience in AWS cloud or any cloud technologies
- Experience in BigData technologies and streaming like – pyspark, kafka is a big plus
- Shell scripting
- Preferred tech stack – Python, Rest API, Microservices, Flask/Fast API, pandas, numpy, linux, shell scripting, Airflow, pyspark
- Has a strong backend experience – and worked with Microservices and Rest API’s - Flask, FastAPI, Databases Relational and Non-relational
Must Have Skills:
Machine Learning (ML)Data Science
Deep Learningalong with metrics to track their progress
Managing available resources such as hardware, data, and personnel so that deadlines
are met
Analysing the ML algorithms that could be used to solve a given problem and ranking
them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying
differences in data distribution that could affect performance when deploying the model
in the real world
Verifying data quality, and/or ensuring it via data cleaning
Supervising the data acquisition process if more data is needed
Defining validation strategies
Defining the pre-processing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper parameters
Analysing the errors of the model and designing strategies to overcome them
Deploying models to production
Follow CutshortSubodh Popalwar
Software Engineer, Memorres