Responsibilities
- Identify, analyze, and interpret trends or patterns in complex data sets to develop a thorough understanding of users, and acquisition channels.
- Run exploratory analysis uncover new areas of opportunity, generate hypotheses, and quickly assess the potential upside of a given opportunity.
- Help execute projects to drive insights that lead to growth.
- Work closely with marketing, design, product, support, and engineering to anticipate analytics needs and to quantify the impact of existing features, future product changes, and marketing campaigns.
- Work with data engineering to develop and implement new analytical tools and improve our underlying data infrastructure. Build tracking plans for new and existing products and work with engineering to ensure proper
- Analyze, forecast, and build custom reports to make key performance indicators and insights available to the entire company.
- Monitor, optimize, and report on marketing and growth metrics and split-test results. Make recommendations based on analytics and test findings.
- Drive optimization and data minded culture inside the company.
- Develop frameworks, models, tools, and processes to ensure that analytical insights can be incorporated into all key decision making.
- Effectively present and communicate analysis to the company to drive business decisions.
- Create a management dashboard including all important KPIs to be tracked on a company and department level
- Establish end to end campaign ROI tracking mechanism to attribute sales to specific google and Facebook campaigns
Skills and Experience
- Minimum 1-2 years of proven work experience in a data analyst role.
- Excellent analytical skills and problem-solving ability; the ability to answer unstructured business questions and work independently to drive projects to conclusion.
- Strong analytical skills with the capacity to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Experience extracting insights using advanced SQL or similar tool to work efficiently at scale. Advanced expertise with commonly used analytics tools including Google Analytics, studio and Excel.
- Strong knowledge of statistics, this includes experimental design for optimization, statistical significance, confidence intervals and predictive analytics techniques.
- Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast-paced environment.
- Active team player, excellent communication skills, positive attitude and good work ethic.
About Felicitycare
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Qualifications & Experience:
▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design
▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.
▪ Expert in SQL, worked on advanced SQL for at least 2+ years
▪ Good development skills in Java, Python or other languages
▪ Experience with EMR, S3
▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview
▪ Comfortable working in an agile environment
Role:
We're seeking a proactive leader to head a team and tackle complex business logic problems. This role requires an individual who can contribute independently, providing valuable insights rather than needing constant guidance. We value the depth of knowledge and hands-on experience over spoon-fed solutions.
Technical Requirements:
Proficiency in data processing technologies, including SQL and PostgreSQL, with the ability to write complex queries. Strong coding skills in Python, with hands-on experience in developing solutions. Knowledge of Scala or Julia is advantageous. Experience leading teams and working on projects from inception. Must be Familiar with ML with frameworks such as TensorFlow, OpenAI, LLP, and BUD. Some exposure to Airflow is preferred. Must have knowledge and Hands-on experience with DevOps coding and migration. Must have knowledge of Flask or FastAPI. Experience working with both Linux and Windows environments.
Experience:5+ Years.
(Note: The resource should have hands-on exp with all the must-have skills mentioned above)
Desired Skills & Mindset:
We are looking for candidates who have demonstrated both a strong business sense and deep understanding of the quantitative foundations of modelling.
• Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions
• Statistical programming software experience in SPSS and comfortable working with large data sets.
• R, Python, SAS & SQL are preferred but not a mandate
• Excellent time management skills
• Good written and verbal communication skills; understanding of both written and spoken English
• Strong interpersonal skills
• Ability to act autonomously, bringing structure and organization to work
• Creative and action-oriented mindset
• Ability to interact in a fluid, demanding and unstructured environment where priorities evolve constantly, and methodologies are regularly challenged
• Ability to work under pressure and deliver on tight deadlines
Qualifications and Experience:
• Graduate degree in: Statistics/Economics/Econometrics/Computer
Science/Engineering/Mathematics/MBA (with a strong quantitative background) or
equivalent
• Strong track record work experience in the field of business intelligence, market
research, and/or Advanced Analytics
• Knowledge of data collection methods (focus groups, surveys, etc.)
• Knowledge of statistical packages (SPSS, SAS, R, Python, or similar), databases,
and MS Office (Excel, PowerPoint, Word)
• Strong analytical and critical thinking skills
• Industry experience in Consumer Experience/Healthcare a plus
What you will do:
- Understand the process of CaaStle business teams, KPIs, and pain points
- Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
- Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
- Leverage advanced analytics to drive key success metrics for business and revenue generation
- Operationalize, implement, and automate changes to drive data-driven decisions
- Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis
We would love for you to have:
- Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
- Experience: 2-4 years of professional experience
- Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
- Experience in A/B testing and measure performance of experiments
- Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
- Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
- Excellent communication, social, and presentation skills with meticulous attention to detail
- Programming experience in Python, R, or other languages
- Knowledge of Data mining, statistical modeling approaches, and techniques
CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.
Skills and requirements
- Experience analyzing complex and varied data in a commercial or academic setting.
- Desire to solve new and complex problems every day.
- Excellent ability to communicate scientific results to both technical and non-technical team members.
Desirable
- A degree in a numerically focused discipline such as, Maths, Physics, Chemistry, Engineering or Biological Sciences..
- Hands on experience on Python, Pyspark, SQL
- Hands on experience on building End to End Data Pipelines.
- Hands on Experience on Azure Data Factory, Azure Data Bricks, Data Lake - added advantage
- Hands on Experience in building data pipelines.
- Experience with Bigdata Tools, Hadoop, Hive, Sqoop, Spark, SparkSQL
- Experience with SQL or NoSQL databases for the purposes of data retrieval and management.
- Experience in data warehousing and business intelligence tools, techniques and technology, as well as experience in diving deep on data analysis or technical issues to come up with effective solutions.
- BS degree in math, statistics, computer science or equivalent technical field.
- Experience in data mining structured and unstructured data (SQL, ETL, data warehouse, Machine Learning etc.) in a business environment with large-scale, complex data sets.
- Proven ability to look at solutions in unconventional ways. Sees opportunities to innovate and can lead the way.
- Willing to learn and work on Data Science, ML, AI.
Work Timing: 5 Days A Week
Responsibilities include:
• Ensure right stakeholders gets right information at right time
• Requirement gathering with stakeholders to understand their data requirement
• Creating and deploying reports
• Participate actively in datamarts design discussions
• Work on both RDBMS as well as Big Data for designing BI Solutions
• Write code (queries/procedures) in SQL / Hive / Drill that is both functional and elegant,
following appropriate design patterns
• Design and plan BI solutions to automate regular reporting
• Debugging, monitoring and troubleshooting BI solutions
• Creating and deploying datamarts
• Writing relational and multidimensional database queries
• Integrate heterogeneous data sources into BI solutions
• Ensure Data Integrity of data flowing from heterogeneous data sources into BI solutions.
Minimum Job Qualifications:
• BE/B.Tech in Computer Science/IT from Top Colleges
• 1-5 years of experience in Datawarehousing and SQL
• Excellent Analytical Knowledge
• Excellent technical as well as communication skills
• Attention to even the smallest detail is mandatory
• Knowledge of SQL query writing and performance tuning
• Knowledge of Big Data technologies like Apache Hadoop, Apache Hive, Apache Drill
• Knowledge of fundamentals of Business Intelligence
• In-depth knowledge of RDBMS systems, Datawarehousing and Datamarts
• Smart, motivated and team oriented
Desirable Requirements
• Sound knowledge of software development in Programming (preferably Java )
• Knowledge of the software development lifecycle (SDLC) and models
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.
Datametica is looking for talented SQL engineers who would get training & the opportunity to work on Cloud and Big Data Analytics.
Mandatory Skills:
- Strong in SQL development
- Hands-on at least one scripting language - preferably shell scripting
- Development experience in Data warehouse projects
Opportunities:
- Selected candidates will be provided training opportunities on one or more of the following: Google Cloud, AWS, DevOps Tools, Big Data technologies like Hadoop, Pig, Hive, Spark, Sqoop, Flume, and KafkaWould get a chance to be part of the enterprise-grade implementation of Cloud and Big Data systems
- Will play an active role in setting up the Modern data platform based on Cloud and Big Data
- Would be part of teams with rich experience in various aspects of distributed systems and computing
Our client is an innovative Fintech company that is revolutionizing the business of short term finance. The company is an online lending startup that is driven by an app-enabled technology platform to solve the funding challenges of SMEs by offering quick-turnaround, paperless business loans without collateral. It counts over 2 million small businesses across 18 cities and towns as its customers. Its founders are IIT and ISB alumni with deep experience in the fin-tech industry, from earlier working with organizations like Axis Bank, Aditya Birla Group, Fractal Analytics, and Housing.com. It has raised funds of Rs. 100 Crore from finance industry stalwarts and is growing by leaps and bounds.
- Ensuring ease of data availability, with relevant dimensions, using Business Intelligence tools.
- Providing strong reporting and analytical information support to the management team.
- Transforming raw data into essential metrics basis needs of relevant stakeholders.
- Performing data analysis for generating reports on a periodic basis.
- Converting essential data into easy to reference visuals using Data Visualization tools (PowerBI, Metabase).
- Providing recommendations to update current MIS to improve reporting efficiency and consistency.
- Bringing fresh ideas to the table and keen observers of trends in the analytics and financial services industry.
What you need to have:
- MBA/ BE/ Graduate, with work experience of 3+ years.
- B.Tech /B.E.; MBA / PGDM
- Experience in Reporting, Data Management (SQL, MongoDB), Visualization (PowerBI, Metabase, Data studio)
- Work experience (into financial services, Indian Banks/ NBFCs in-house analytics units or Fintech/ analytics start-ups would be a plus.)
- Skilled at writing & optimizing large complicated SQL queries & MongoDB scripts.
- Strong knowledge of Banking/ Financial Services domain
- Experience with some of the modern relational databases
- Ability to work on multiple projects of different nature and self- driven,
- Liaise with cross-functional teams to resolve data issues and build strong reports
• Proficient in PowerBI
• Bonus for proficient coding skills in R / Python. Master-level skills in SQL and query languages
• 2+ years of experience working with visualization tools such as PowerBI Tableau, Qlik etc.
• Excellent written and verbal communication skills
• Ability to proficiently come up to business requirements/model and gain good understanding of business metrics
• Excellent organizational, presentation, analytical, written and verbal communication
• Understand efficient coding standards and has a knack to plan for QC checks
• Added advantage if you understand Cloud hosting, customizing visualization tools using DAX,data integration with analytical data-streams
Desired Skills and Experience:
• Be a consultant to our clients. Think out-of-the-box and develop visualization solutions which help clients in solving their business problems
• Tremendous passion towards learning is a must. You must be able to merge the art of consulting and the science of Design in visualization
• Drive and energy to work hard and achieve success in an entrepreneurial environment
• Should have hands-on experience in delivering projects across multiple industries and analytics