11+ Data manipulation Jobs in Mumbai | Data manipulation Job openings in Mumbai
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Job Responsibilities:
Excellent problem solving and analytical skills - ability to develop hypotheses,
understand and interpret data within the context of the product / business -
solve problems and distill data into actionable recommendations.
Strong communication skills with the ability to confidently work with cross-
functional teams across the globe and to present information to all levels of the
organization.
Intellectual and analytical curiosity - initiative to dig into the why, what & how.
Strong number crunching and quantitative skills.
Advanced knowledge of MS Excel and PowerPoint.
Good hands on SQL
Experience with in Google Analytics, Optimize, Tag Manager and other Google Suite tools
Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus
Inherent interest in e-commerce & marketplace technology platforms and
broadly in the consumer Internet & mobile space.
Previous experience of 1+ years working in a product company in
a product analytics role
Strong understanding of building and interpreting product funnels.
Perquisites & Benefits:
Opportunity to work with India's no.1 crowdfunding platform
Be a part of a young, smart and rapidly growing team with management from Ivy League and Premier colleges
Competitive compensation and incentives
Fun, casual, relaxed and flexible work environment
Our client is the world’s largest media investment company and are a part of WPP. In fact, they are responsible for one in every three ads you see globally. We are currently looking for a Senior Software Engineer to join us. In this role, you will be responsible for coding/implementing of custom marketing applications that Tech COE builds for its customer and managing a small team of developers.
What your day job looks like:
- Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics
- Develop data extraction and manipulation code based on business rules
- Develop automated and manual test cases for the code written
- Design and construct data store and procedures for their maintenance
- Perform data extract, transform, and load activities from several data sources.
- Develop and maintain strong relationships with stakeholders
- Write high quality code as per prescribed standards.
- Participate in internal projects as required
Minimum qualifications:
- B. Tech./MCA or equivalent preferred
- Excellent 3 years Hand on experience on Big data, ETL Development, Data Processing.
What you’ll bring:
- Strong experience in working with Snowflake, SQL, PHP/Python.
- Strong Experience in writing complex SQLs
- Good Communication skills
- Good experience of working with any BI tool like Tableau, Power BI.
- Sqoop, Spark, EMR, Hadoop/Hive are good to have.
Minimum of 8 years of experience of which, 4 years should be of applied data mining
experience in disciplines such as Call Centre Metrics.
Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.
Experience with leading and managing large teams.
Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.
Demonstrated experience with Business Intelligence/Data Mining tools to work with
data, investigate anomalies, construct data sets, and build models.
Critical to share details on projects undertaken (preferably on telecom industry)
specifically through analysis from CRM.
About the company
WonDRx (pronounced as Wonder-Rx) - spearheaded by two serial Entrepreneurs Mr. Pankaj Sindhu along with his Co-Founder Mr. Pankaj Agrawal; is a very unique and novel technology which has the capacity to change the way healthcare eco-system interacts with each-other. We are determined to change the way of Healthcare domain working and make it more convenient while ensuring a pleasant experience for the consumers and all other stakeholders involved. You need to see the product to believe the power it has and what it can enable in the healthcare domain.
Designation: Team Leader Data Analyst & Project Management
Job Description:
We are seeking a highly skilled and detail-oriented Team Leader- Data Analyst & Project to join our team. In this role, you will be responsible for extracting insights from raw data, preparing analytics reports, and overseeing data-driven projects from start to finish.
The ideal candidate should have a strong background in Advanced Excel, proficiency in various Business Intelligence (BI) tools will be an added advantage, and experience in follow up with various internal and external stakeholders related to ongoing projects.
Responsibilities:
• Gather, clean, and validate raw data from various sources.
• Develop and maintain efficient data management systems.
• Apply advanced Excel techniques to manipulate and analyse data effectively.
• Utilize BI tools to create insightful reports, visualizations, and dashboards.
• Identify trends, patterns, and correlations in data sets.
• Collaborate with cross-functional teams to understand their data needs and provide analytical support.
• Present findings and recommendations to stakeholders in a clear and understandable manner.
• Manage data-driven projects from initiation to completion, ensuring deliverables are met on time and within budget.
• Maintain project plans, including timelines, resource allocation, and task assignments.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Coordinate and communicate with team members, ensuring alignment and effective collaboration.
• Prepare project status reports and deliver presentations to stakeholders.
• Evaluate project outcomes and identify areas for improvement.
Requirements:
• Master’s or Bachelor's degree with a relevant experience in coordinating Data Driven projects
• Proficiency in Advanced Excel functions and formulas.
• Knowledge of at least one Business Intelligence (BI) tool (e.g., Tableau, Power BI, QlikView) will be an added advantage
• Excellent project management skills, including planning, organization, and prioritization.
• Strong problem-solving and critical-thinking abilities.
• Excellent communication and interpersonal skills.
• Ability to work independently and manage multiple projects simultaneously.
• Attention to detail and ability to work with complex datasets.
Preferred Skills:
• Data Analysis: Candidate should have strong analytical skills which is crucial for a data analyst. You should be able to collect, organize, and interpret complex data sets to extract meaningful insights. Advanced Excel is a must.
• Communication and Presentation: Data analysts should be able to effectively communicate their findings to both technical and non-technical stakeholders. You would need to effectively communicate with team members, stakeholders, and other project stakeholders. This includes written communication through project documentation and reports, as well as verbal communication for conducting meetings, providing updates, and resolving issues.
• Continuous Learning: We are a constantly evolving startup. Ideal candidate should have willingness to learn new techniques, stay updated with the latest tools and technologies, and adapt to changing trends which is crucial for long-term success.
• Team Player: You should be able to motivate and inspire team members, provide guidance, and facilitate decision-making processes.
• Project Coordinator: As a project coordinator you should possess strong problem-solving and critical-thinking skills to identify issues, analyse root causes, and propose and implement appropriate solutions
We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.
Tools familiarity: SQL, Python, Mix panel, Metabase, Google Analytics, Clever Tap, App Analytics
Responsibilities
- Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
- Metrics alignment across teams to make them actionable and promote accountability
- Data based frameworks for assessing and strengthening Product Market Fit
- Identify viable growth strategies through data and experimentation
- Experimentation for product optimisation and understanding user behaviour
- Structured approach towards deriving user insights, answer questions using data
- This person needs to closely work with Technical and Business teams to get this implemented.
Skills
- 4 to 6 years at a relevant role in data analytics in a Product Oriented company
- Highly organised, technically sound & good at communication
- Ability to handle & build for cross functional data requirements / interactions with teams
- Great with Python, SQL
- Can build, mentor a team
- Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE
Eligibility
BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges
Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.
We are more interested in what you CAN DO than your location, education, or experience levels.
Send us your code samples / GitHub profile / published articles if applicable.
at Magic9 Media and Consumer Knowledge Pvt. Ltd.
Job Description
This requirement is to service our client which is a leading big data technology company that measures what viewers consume across platforms to enable marketers make better advertising decisions. We are seeking a Senior Data Operations Analyst to mine large-scale datasets for our client. Their work will have a direct impact on driving business strategies for prominent industry leaders. Self-motivation and strong communication skills are both must-haves. Ability to work in a fast-paced work environment is desired.
Problems being solved by our client:
Measure consumer usage of devices linked to the internet and home networks including computers, mobile phones, tablets, streaming sticks, smart TVs, thermostats and other appliances. There are more screens and other connected devices in homes than ever before, yet there have been major gaps in understanding how consumers interact with this technology. Our client uses a measurement technology to unravel dynamics of consumers’ interactions with multiple devices.
Duties and responsibilities:
- The successful candidate will contribute to the development of novel audience measurement and demographic inference solutions.
- Develop, implement, and support statistical or machine learning methodologies and processes.
- Build, test new features and concepts and integrate into production process
- Participate in ongoing research and evaluation of new technologies
- Exercise your experience in the development lifecycle through analysis, design, development, testing and deployment of this system
- Collaborate with teams in Software Engineering, Operations, and Product Management to deliver timely and quality data. You will be the knowledge expert, delivering quality data to our clients
Qualifications:
- 3-5 years relevant work experience in areas as outlined below
- Experience in extracting data using SQL from large databases
- Experience in writing complex ETL processes and frameworks for analytics and data management. Must have experience in working on ETL tools.
- Master’s degree or PhD in Statistics, Data Science, Economics, Operations Research, Computer Science, or a similar degree with a focus on statistical methods. A Bachelor’s degree in the same fields with significant, demonstrated professional research experience will also be considered.
- Programming experience in scientific computing language (R, Python, Julia) and the ability to interact with relational data (SQL, Apache Pig, SparkSQL). General purpose programming (Python, Scala, Java) and familiarity with Hadoop is a plus.
- Excellent verbal and written communication skills.
- Experience with TV or digital audience measurement or market research data is a plus.
- Familiarity with systems analysis or systems thinking is a plus.
- Must be comfortable with analyzing complex, high-volume and high-dimension data from varying sources
- Excellent verbal, written and computer communication skills
- Ability to engage with Senior Leaders across all functional departments
- Ability to take on new responsibilities and adapt to changes
- Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher.
- Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark.
- Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as
- Working on Basic Statistical Analysis such as:T-Test &Correlation
- Performing more complex data analysis processes through Machine Learning technique such as:
- Classification
- Regression
- Clustering
- Text
- Analysis
- Neural Networking
- Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use.
- Working on Statistical and mathematical modelling, application of ML and AI algorithms
What you need to have:
- Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience.
- An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.
- Hands-on experience in any Cloud Platform
- Microsoft Azure Experience
- Key responsibility is to design & develop a data pipeline for real-time data integration, processing, executing of the model (if required), and exposing output via MQ / API / No-SQL DB for consumption
- Provide technical expertise to design efficient data ingestion solutions to store & process unstructured data, such as Documents, audio, images, weblogs, etc
- Developing API services to provide data as a service
- Prototyping Solutions for complex data processing problems using AWS cloud-native solutions
- Implementing automated Audit & Quality assurance Checks in Data Pipeline
- Document & maintain data lineage from various sources to enable data governance
- Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc
Skills
- Programming experience using Python & SQL
- Extensive working experience in Data Engineering projects, using AWS Kinesys, AWS S3, DynamoDB, EMR, Lambda, Athena, etc for event processing
- Experience & expertise in implementing complex data pipeline
- Strong Familiarity with AWS Toolset for Storage & Processing. Able to recommend the right tools/solutions available to address specific data processing problems
- Hands-on experience in Unstructured (Audio, Image, Documents, Weblogs, etc) Data processing.
- Good analytical skills with the ability to synthesize data to design and deliver meaningful information
- Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
- Ability to understand business functionality, processes, and flows
- Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently
Functional knowledge
- Real-time Event Processing
- Data Governance & Quality assurance
- Containerized deployment
- Linux
- Unstructured Data Processing
- AWS Toolsets for Storage & Processing
- Data Security
Should be able to use the transformations components to transform the data
Should possess knowledge on incremental load, full load etc.
Should Design, build and deploy effective packages
Should be able to schedule these packages through task schedulers
Implement stored procedures and effectively query a database
Translate requirements from the business and analyst into technical code
Identify and test for bugs and bottlenecks in the ETL solution
Ensure the best possible performance and quality in the packages
Provide support and fix issues in the packages
Writes advanced SQL including some query tuning
Experience in the identification of data quality
Some database design experience is helpful
Experience designing and building complete ETL/SSIS processes moving and transforming data for
ODS, Staging, and Data Warehousing
MSBI Developer-
We have the following opening in our organization:
Years of Experience: Experience of 4-8 years.
Location- Mumbai ( Thane)/BKC/Andheri
Notice period: Max 15 days or Immediate
Educational Qualification: MCA/ME/Msc-IT/BE/B-Tech/BCA/BSC IT in Computer Science/B.Tech
Requirements:
- 3- 8 years of consulting or relevant work experience
- Should be good in SQL Server 2008 R2 and above.
- Should be excellent at SQL, SSRS & SSIS, SSAS,
- Data modeling, Fact & dimension design, work on a data warehouse or dw architecture design.
- Implementing new technology like power BI, power bi modeling.
- Knowledge of Azure or R-programming is an added advantage.
- Experiences in BI and Visualization Technology (Tableau, Power BI).
- Advanced T-SQL programming skill
- Can scope out a simple or semi-complex project based on business requirements and achievable benefits
- Evaluate, design, and implement enterprise IT-based business solutions, often working on-site to help customers deploy their solutions.