About the Role
The following Job Specification is intended to reflect the nature, range and context of the work. It identifies the main requirements of the job but is not an exhaustive list of duties.
The Data Analyst role is a vital role as to be a sole point of contact responsible for closely working with various teams internally and closely working with the CTO. This role typically requires the resource to analyse the vast number of datasets and provide a meaningful impact and the result of such data with combination of growth of the company to the management. The role handles large responsibilities of closely communicating with other departments, thus must be someone who really loves his role.
Job Description
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement, data analytics and other strategies that optimize statistical efficiency and quality
- Strong experience at working on databases and good at analytical reasoning
- Acquire data from Finance, Technology, Marketing and Sales data sources and maintain data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Should be able to highlight Incorrect data and record the pattern of Drawbacks relating to the cleansing of data modules
- Must be involved in reconciliation of data sets and components across verticals depending on the need
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with the management to prioritize business and information needs
- Locate and define new process improvement opportunities
Required Skills:
- Proven working experience as a data analyst or business data analyst
- Sound experience in MySQL, Postgres, Oracle databases and fluent in SQL scripts
- https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertiseregarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skillswith the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Adept at queries, report writing and presenting findings
- BS in Mathematics, Economics, Computer Science, Information Management or Statistics
About Namaste Credit
Similar jobs
Company Description
UpSolve is a Gen AI and Vision AI startup that helps businesses solve their problems by building custom solutions that drive strategic business decisions. Whether your business is facing time constraints or a lack of resources, UpSolve can help. We build enterprise grade AI solutions with focus on increasing ROI.
Role Description
This is a full-time hybrid role for a Business Analyst located in Mumbai.
Please note: This is an onsite role and good communication skills are expected (oral + written)
Responsibilities
1. Understand existing system integrations for the client.
2. Map and identify gaps in existing systems.
3. Ideate, Advise and Implement AI Solutions to optimize business process.
4. Collaborate with multiple teams and stakeholders.
Qualifications
- MBA with focus on Business Analytics or Bachelor's degree in Computer Science or IT
- Minimum 4 Years of Experience
- Strong written, verbal and collaboration skills
- Immediate Joiner (Less than 5 days)
Work Location: Mumbai, Work from Office
About InEvolution
Founded in 2009, InEvolution stands as a beacon of excellence in providing back-office, operations, and customer support services globally. Our team, comprising highly skilled professionals, is committed to delivering top-notch quality services while ensuring cost efficiency. At InEvolution, we value innovation, quality, and our team's growth and development.
About the Role
- Work on building, processing and transferring data and dashboards from existing Domo Platform to Power BI Platform.
- Audit existing data systems and deployments and identify errors or areas for improvement.
- Utilize Power BI to build interactive and visually appealing dashboards and reports.
- Build Data Documentation and explanation on parameters, filters, models and relationships used in the dashboards.
- Review existing SQL data sources to improve, connect and integrate it effortlessly with Power BI.
- Create, test and deploy Power BI scripts, as well as execute efficient migration practices.
- Work closely with the current analytics team, to define requirements, migration steps and, have an open and transparent communication with the team on reviewing the migrated reports and data sources for successful outcomes.
- Ensure all dashboards and data sources are thoroughly reviewed by the team before publishing to the production environment.
- Convert business needs into technical specifications and establish a timeline for job completion.
Requirements & Skills:
- 2+ years of experience in using Power BI to run DAX queries and other advanced interactive functions.
- 2+ years of experience with Data Analysis and Data Visualization tools.
- 1+ years of experience working with Relational Databases and building SQL queries.
- Familiarity with Data Collection, Cleaning and Transformation processes.
- Attention to detail and the ability to work with complex datasets.
Specific Responsibilities
- Minimum of 2 years Experience in Google Big Query and Google Cloud Platform.
- Design and develop the ETL framework using BigQuery
- Expertise in Big Query concepts like Nested Queries, Clustering, Partitioning, etc.
- Working Experience of Clickstream database, Google Analytics/ Adobe Analytics.
- Should be able to automate the data load from Big Query using APIs or scripting language.
- Good experience in Advanced SQL concepts.
- Good experience with Adobe launch Web, Mobile & e-commerce tag implementation.
- Identify complex fuzzy problems, break them down in smaller parts, and implement creative, data-driven solutions
- Responsible for defining, analyzing, and communicating key metrics and business trends to the management teams
- Identify opportunities to improve conversion & user experience through data. Influence product & feature roadmaps.
- Must have a passion for data quality and be constantly looking to improve the system. Drive data-driven decision making through the stakeholders & drive Change Management
- Understand requirements to translate business problems & technical problems into analytics problems.
- Effective storyboarding and presentation of the solution to the client and leadership.
- Client engagement & management
- Ability to interface effectively with multiple levels of management and functional disciplines.
- Assist in developing/coaching individuals technically as well as on soft skills during the project and as part of Client Project’s training program.
- 2 to 3 years of working experience in Google Big Query & Google Cloud Platform
- Relevant experience in Consumer Tech/CPG/Retail industries
- Bachelor’s in engineering, Computer Science, Math, Statistics or related discipline
- Strong problem solving and web analytical skills. Acute attention to detail.
- Experience in analyzing large, complex, multi-dimensional data sets.
- Experience in one or more roles in an online eCommerce or online support environment.
- Expertise in Google Big Query & Google Cloud Platform
- Experience in Advanced SQL, Scripting language (Python/R)
- Hands-on experience in BI tools (Tableau, Power BI)
- Working Experience & understanding of Adobe Analytics or Google Analytics
- Experience in creating and debugging website & app tracking (Omnibus, Dataslayer, GA debugger, etc.)
- Excellent analytical thinking, analysis, and problem-solving skills.
- Knowledge of other GCP services is a plus
About Company
Our client is the worlds largest media investment company and a global digital transformation agency with 1200 employees across 21 nations. They support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels
About The Role
· Provide support on Campaign Measurement, Brand Lift studies, Reporting and other data needs (ingestion, cleaning, delivery etc.)
· Code in SQL, Python to create reports and build dashboards.
· Use Bigquery, Python, Datalab (GCP) and automate recurring workloads to improve efficiency
· Maintain underlying data infrastructure and troubleshoot data issues
· Generate meaningful insights from data using advanced analytics/statistical techniques and create dashboards and presentations for wider teams.
· Liaise closely with clients (internally and externally) on projects and work with key stakeholders to assess project needs and ensure best-in-class work is being delivered.
A bit about yourself
· 0-2 years of experience required
· Programming skills in SQL, Python/R
· Logical thinking and problem solving skills
· Strong communication skills (verbal & written)
· Adherence to quality & ability to plan & prioritize the work
· Passionate about data analysis, ability to troubleshoot data anomalies, pulling data from several sources, integrating it to create data layers
· Experience in applying big data, statistics, analytical techniques and technology to solve client problems will be plus
· Experience in creating dashboards, reports, presentations and finding insights, and strong business acumen to provide actionable strategic recommendations will be plus.
Daily and monthly responsibilities
- Review and coordinate with business application teams on data delivery requirements.
- Develop estimation and proposed delivery schedules in coordination with development team.
- Develop sourcing and data delivery designs.
- Review data model, metadata and delivery criteria for solution.
- Review and coordinate with team on test criteria and performance of testing.
- Contribute to the design, development and completion of project deliverables.
- Complete in-depth data analysis and contribution to strategic efforts
- Complete understanding of how we manage data with focus on improvement of how data is sourced and managed across multiple business areas.
Basic Qualifications
- Bachelor’s degree.
- 5+ years of data analysis working with business data initiatives.
- Knowledge of Structured Query Language (SQL) and use in data access and analysis.
- Proficient in data management including data analytical capability.
- Excellent verbal and written communications also high attention to detail.
- Experience with Python.
- Presentation skills in demonstrating system design and data analysis solutions.
Job Responsibilities
- Design, build & test ETL processes using Python & SQL for the corporate data warehouse
- Inform, influence, support, and execute our product decisions
- Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.
- Evaluate and prototype new technologies in the area of data processing
- Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams
- High energy level, strong team player and good work ethic
- Data analysis, understanding of business requirements and translation into logical pipelines & processes
- Identification, analysis & resolution of production & development bugs
- Support the release process including completing & reviewing documentation
- Configure data mappings & transformations to orchestrate data integration & validation
- Provide subject matter expertise
- Document solutions, tools & processes
- Create & support test plans with hands-on testing
- Peer reviews of work developed by other data engineers within the team
- Establish good working relationships & communication channels with relevant departments
Skills and Qualifications we look for
- University degree 2.1 or higher (or equivalent) in a relevant subject. Master’s degree in any data subject will be a strong advantage.
- 4 - 6 years experience with data engineering.
- Strong coding ability and software development experience in Python.
- Strong hands-on experience with SQL and Data Processing.
- Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)
- Good working experience in any one of the ETL tools (Airflow would be preferable).
- Should possess strong analytical and problem solving skills.
- Good to have skills - Apache pyspark, CircleCI, Terraform
- Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.
- Understanding & experience of agile / scrum delivery methodology
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
We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.
In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that
- Has healthcare experience and is passionate about helping heal people,
- Loves working with data,
- Has an obsessive focus on data quality,
- Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
- Has strong data interrogation and analysis skills,
- Defaults to written communication and delivers clean documentation, and,
- Enjoys working with customers and problem solving for them.
A day in the life at Innovaccer:
- Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
- Measure and communicate impact to our customers.
- Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.
What You Need:
- 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
- 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
- Intermediate to advanced level SQL programming skills.
- Data Analytics and Visualization (using tools like PowerBI)
- The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
- Ability to work in a fast-paced and agile environment.
- Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.
What we offer:
- Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
- Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
- Health benefits: We cover health insurance for you and your loved ones.
- Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
- Pet-friendly office and open floor plan: No boring cubicles.
Role :
- Understand and translate statistics and analytics to address business problems
- Responsible for helping in data preparation and data pull, which is the first step in machine learning
- Should be able to do cut and slice data to extract interesting insights from the data
- Model development for better customer engagement and retention
- Hands on experience in relevant tools like SQL(expert), Excel, R/Python
- Working on strategy development to increase business revenue
Requirements:
- Hands on experience in relevant tools like SQL(expert), Excel, R/Python
- Statistics: Strong knowledge of statistics
- Should able to do data scraping & Data mining
- Be self-driven, and show ability to deliver on ambiguous projects
- An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment
- Should have worked on Business Projects for an organization, Ex: customer acquisition, Customer retention.
Location: Bengaluru
Department: - Engineering
Bidgely is looking for extraordinary and dynamic Senior Data Analyst to be part of its core team in Bangalore. You must have delivered exceptionally high quality robust products dealing with large data. Be part of a highly energetic and innovative team that believes nothing is impossible with some creativity and hard work.
● Design and implement a high volume data analytics pipeline in Looker for Bidgely flagship product.
● Implement data pipeline in Bidgely Data Lake
● Collaborate with product management and engineering teams to elicit & understand their requirements & challenges and develop potential solutions
● Stay current with the latest tools, technology ideas and methodologies; share knowledge by clearly articulating results and ideas to key decision makers.
● 3-5 years of strong experience in data analytics and in developing data pipelines.
● Very good expertise in Looker
● Strong in data modeling, developing SQL queries and optimizing queries.
● Good knowledge of data warehouse (Amazon Redshift, BigQuery, Snowflake, Hive).
● Good understanding of Big data applications (Hadoop, Spark, Hive, Airflow, S3, Cloudera)
● Attention to details. Strong communication and collaboration skills.
● BS/MS in Computer Science or equivalent from premier institutes.