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at Innefu Labs Pvt
- Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
- Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
- Own the automation of product analytics through good SQL knowledge
- Develop early warning metrics for production and highlight issues and breakdowns for resolution
- Resolve client escalations and concerns regarding key business metrics
- Define and own execution
- Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
- Deliver data-backed analysis and statistically proven solutions
- Research and implement best practices
- Mentor team of analysts
Qualifications and Education Requirements
- B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
- Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines
Skills needed to excel
- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
analyses - Excellent understanding of retention, churn, and acquisition of user base
- Ability to employ statistics and anomaly detection techniques for data-driven
analytics - Ability to put yourself in the shoes of the end customer and understand what
“product excellence” means - Ability to rethink existing products and use analytics to identify new features and product improvements.
- Ability to rethink existing processes and design new processes for more effective analyses
- Strong SQL knowledge, working experience with Looker and Tableau a great plus
- Strong commitment to quality visible in the thoroughness of analysis and techniques employed
- Strong project management and leadership skills
- Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
- Ability to coach and mentor analysts on technical and analytical skills
- Good knowledge of statistics, basic machine learning, and AB Testing is
preferable - Experience as a Growth hacker and/or in Product analytics is a big plus
- 5+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka Streams, Py Spark, and streaming databases like druid or equivalent like Hive
- Strong industry expertise with containerization technologies including kubernetes (EKS/AKS), Kubeflow
- Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
- 5+ Industry experience in python
- Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
- Experience with scripting languages. Python experience highly desirable. Experience in API development using Swagger
- Implementing automated testing platforms and unit tests
- Proficient understanding of code versioning tools, such as Git
- Familiarity with continuous integration, Jenkins
Responsibilities
- Architect, Design and Implement Large scale data processing pipelines using Kafka Streams, PySpark, Fluentd and Druid
- Create custom Operators for Kubernetes, Kubeflow
- Develop data ingestion processes and ETLs
- Assist in dev ops operations
- Design and Implement APIs
- Identify performance bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization, and documentation
- Communicate with stakeholders regarding various aspects of solution.
- Mentor team members on best practices
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Possess strong domain knowledge - Digital Analytics (Google Analytics, App Analytics (Firebase/AppsFlyer/Branch/MixPanel), CRO, Media Analytics
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Ability to handle Google Analytics clients end-to-end
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Contribute to building effective process management, mentoring teammates, reducing product & execution inefficiencies
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Be responsible for day-to-day Google Analytics operations and performance of client accounts, requiring interaction with both internal and external stakeholders.
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Own, manage and grow digital analytics strategies for clients.
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Be responsible for all regular (and ad hoc) reporting and analysis of digital activity providing crucial insights, and effectively communicating this to the client.
- Working closely with business stakeholders to define, strategize and execute crucial business problem statements which lie at the core of improvising current and future data-backed product offerings.
- Building and refining underwriting models for extending credit to sellers and API Partners in collaboration with the lending team
- Conceiving, planning and prioritizing data projects and manage timelines
- Building analytical systems and predictive models as a part of the agile ecosystem
- Testing performance of data-driven products participating in sprint-wise feature releases
- Managing a team of data scientists and data engineers to develop, train and test predictive models
- Managing collaboration with internal and external stakeholders
- Building data-centric culture from within, partnering with every team, learning deeply about business, working with highly experienced, sharp and insanely ambitious colleagues
What you need to have:
- B.Tech/ M.Tech/ MS/ PhD in Data Science / Computer Science, Statistics, Mathematics & Computation with a demonstrated skill-set in leading an Analytics and Data Science team from IIT, BITS Pilani, ISI
- 8+ years working in the Data Science and analytics domain with 3+ years of experience in leading a data science team to understand the projects to be prioritized, how the team strategy aligns with the organization mission;
- Deep understanding of credit risk landscape; should have built or maintained underwriting models for unsecured lending products
- Should have handled a leadership team in a tech startup preferably a fintech/ lending/ credit risk startup.
- We value entrepreneurship spirit: if you have had the experience of starting your own venture - that is an added advantage.
- Strategic thinker with agility and endurance
- Aware of the latest industry trends in Data Science and Analytics with respect to Fintech, Digital Transformations and Credit-lending domain
- Excellent command over communication is the key to manage multiple stakeholders like the leadership team, product teams, existing & new investors.
- Cloud Computing, Python, SQL, ML algorithms, Analytics and problem - solving mindset
- Knowledge and demonstrated skill-sets in AWS
Business Analyst (Data & Analytics) Remote Work, US shift
General Scope and Summary
The Data and Analytics Team sits in the Digital and Enterprise Capabilities Group and is responsible for driving the strategy, implementation and delivery of Data, Analytics and Automation capabilities across Enterprise. This global team will deliver “Next-Gen Value” by establishing core Data and Analytics capabilities needed to effectively manage and exploit Data as an Enterprise Asset. The Business Analyst will be responsible for documenting business processes, use cases and gathering requirements which will enable teams answer strategic and business questions through data.
Roles and Responsibilities
Night Shift - Remote Work
Document business processes this includes workflow diagrams, entity relationship diagrams and other supporting documentation
Design new workflows based upon business requirements
Interact with development resources to create the technical requirements
Act as quality assurance liaison prior to release of new data analysis or applications
Write technical documentation for our applications to be provided to customer success for turning into user friendly documentation
Perform Data Exploration and Analysis
Build simple reports/dashboards
Interact with external stakeholders to address technical issues.
Experience, Education and Specialised Knowledge and Skills
Must thrive working in a fast-paced, innovative environment while remaining flexible, proactive, resourceful, and efficient.
Strong interpersonal skills, ability to understand stakeholder pain points, ability to analyze complex issues to develop relevant and realistic solutions and recommendations.
Demonstrated ability to translate strategy into action; excellent technical skills and an ability to communicate complex issues in a simple way and to orchestrate solutions to resolve issues and mitigate risks.
Basic Qualifications
4+ years’ experience in business analytics, data analysis, data management, or related technologies.
Data Related certifications and/or degrees preferred.
Deep technical and domain knowledge related to Analytics, data exploration, business analysis Experience with a variety of business intelligence and analytical software package (e.g., Tableau, Power BI etc.).
Experience with Gathering requirements, creating workflows on data projects
Exposure, and knowledge of primary cloud provider offerings and architectures (AWS, Azure, GCP).
Knowledge of agile methods and delivery techniques.
Experience with Data exploration, profiling like SQL
Experience in working with cross functional teams.
Ability to deliver in fast paced environment with attention to detail and
execution focus
Exceptional verbal and written communication
Ability to work individually, within a cross-functional team, as well as with external partners and vendors
Preferred Qualification
Awareness of regulatory impacts to data in the Live Sciences business,
such as GxP.
Ability to deliver fast, show quick wins and have the big picture in mind
Ability to work with external vendors and hold them accountable
Ability to juggle multiple priorities and make quick decisions
Role & Responsibilities
This role will be leading analytics at WarehouseNow. You will be expected to drive data driven decision making with senior management and own product metrics
- Develop an In-depth understanding of user journeys on WarehouseNow Platforms and generate data driven insights & recommendations to help product business in meticulous decision making.
- End-to-end ownership of key metrics, work with respective product owners to understand areas we need to measure and ensure the needle is moving in the right direction.
- Develop strong hypothesis, execute A/B experiments and identify area of opportunities with strong confidence level.
- Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations
- Identify and implement streamlined processes for data reporting, dashboarding and communication
- Collaborate with Product for data tracking and implementation of tools like Google analytics, Firebase, etc.
Key Competencies
- 3+ years of experience in core business analytics/product analytics.
- Excellent SQL, Excel abilities with working knowledge of scripting (Python, R, shell etc.)
- Background in Engineering /Statistics/Operational Research
- Bonus: Prior experience in a B2C Company
- Gathering project requirements from customers and supporting their requests.
- Creating project estimates and scoping the solution based on clients’ requirements.
- Delivery on key project milestones in line with project Plan/ Budget.
- Establishing individual project plans and working with the team in prioritizing production schedules.
- Communication of milestones with the team and to clients via scheduled work-in-progress meetings
- Designing and documenting product requirements.
- Possess good analytical skills - detail-orientemd
- Be familiar with Microsoft applications and working knowledge of MS Excel
- Knowledge of MIS Reports & Dashboards
- Maintaining strong customer relationships with a positive, can-do attitude