11+ OSINT Jobs in India

• 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

• 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

• 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

• Possess strong domain knowledge - Digital Analytics (Google Analytics, App Analytics (Firebase/AppsFlyer/Branch/MixPanel), CRO, Media Analytics 

• Ability to handle Google Analytics clients end-to-end  

• Contribute to building effective process management, mentoring teammates, reducing product & execution inefficiencies 

• Be responsible for day-to-day Google Analytics operations and performance of client accounts, requiring interaction with both internal and external stakeholders.   

• Own, manage and grow digital analytics strategies for clients.   

• Be responsible for all regular (and ad hoc) reporting and analysis of digital activity providing crucial insights, and effectively communicating this to the client.   

What you need to have:

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