Data Engineer

Description of Role

• We are looking for an enthusiastic analytically minded data driven BI Consultant/Developer role in Mumbai based Data & Analytics team
• The Business Intelligence consultant/developer is a member of the analytics team whose focus is to provide hands-on consulting and
• · Understand and document the reporting business requirements, processes and workflows developing both written and visual depictions of requirements and process flows.
• · Work closely with BI product manager & lead dashboard design and information presentation ideation meetings with business stakeholders. 
• Works extensively in Tableau Desktop, MS Power BI designing and building highly customized dashboards to provide stunning visual anal build assets like datasets, reports and dashboards using tools like Tableau, Powerbi & dataiku for internal customers within investment (Performance, Marketing, Sales etc.)

Key responsibilities

• · Builds Tableau/Power BI Data Models utilizing best practices, ensures data accuracy and ability to blend with other certified data sources.
• · Understand Analytics & Business Intelligence framework and partner with Analytics Technology & Enterprise reporting Technology team to build & deploy reports and dashboards.
• · Evaluate data sources and technology options, recommend appropriate solutions.
• · Build and maintain a reporting data dictionary and data lineage.
• · Perform data analysis, data mapping, and develop ad hoc queries.
• · Write SQL queries, stored procedures, and scripts, ETL jobs.
• · Perform QA testing of developed deliverables and assist with User Acceptance Testing
• · Manage the prioritization, logging and tracking of user related issues, defects, enhancements, and work requests.

Experience and Skills

• · Analytic and data driven mindset with a finesse to build dashboards that tell a story.
• · Strong communication skills, interacting effectively with quantitative colleagues as well as less technical audiences.       
• · Minimum of 5 years of proven experience creating Dashboards, Reports and Visualizations with interactive capabilities.
• · Minimum of 5 years’ experience in business/data analysis and data preparation
• · Minimum 2 years of experience in working with big data & building data apps using Python.
• · Broad industry knowledge of investment management a plus
• · Excellent verbal and writing skills in English.
• · Excellent time management and ability to work under pressure to meet tight deadlines.
• · Maintain a strong commitment to quality. 

Description of Role: 

We are looking for a career-minded professional with global perspective to join the Mumbai based Data & Analytics Group (DAG).

Key responsibilities:

As part of the Data & Analytics Group (DAG) and reporting to the Head of the India DAG locally, the individual is responsible for the following –

1.Review, analyze, and resolve data quality issues for enterprise core data in the IM Data Warehouse.

2.Coordinate with data owners and other teams to identify root-cause of data quality issues and implement solutions.

3.Coordinate the onboarding of data from various internal / external sources into the central repository.

4.Work closely with Data Owners/Owner delegates on data analysis and development data quality (DQ) rules. Work with IT on enhancing DQ controls.

5.End-to-end analysis of business processes, data flows, and data usage to improve business productivity through re-engineering and data governance.

6.Interact with business stakeholders to identify, prioritize, and address data-related needs and issues.

7.Document business requirements and use cases for data-related projects.

8.Manage change control process and participate in user acceptance testing (UAT) activities.

9.Support other DAG initiatives.

Key Skills:

1.Ability to interact with business and technology teams to understand processes and data usage.

2.Ability to do data analysis - to trace data from source to consumption.

3.Capable of working across organization and as part of a cross-functional virtual team. Ability to work and think independently, but within a team-based approach.

4.Problem solver, self-starter, ability to work through an entire issue lifecycle. Ability to effectively prioritize and multi-task.

5.Strong communication skills

Key qualifications:

1.Bachelor’s Degree required and any other relevant academic course a plus.

2.Strong domain knowledge of investment data

3.5+ years of data management, data analytics, or data governance experience in financial services

4.Experience in data analysis, exploratory analysis using SQL and formulating data quality rules.

5.Experience working with BI reporting tools like Tableau, Power BI is preferred.

6.Knowledge in coding, Python is a plus.

7.Prior experience working with Data Platforms like Aladdin, FactSet, Bloomberg, MDM platforms preferred.

About Us:

Optimo Capital is a newly established NBFC founded by Prashant Pitti, who is also a co-founder of EaseMyTrip (a billion-dollar listed startup that grew profitably without any funding).

Our mission is to serve the underserved MSME businesses with their credit needs in India. With less than 15% of MSMEs having access to formal credit, we aim to bridge this credit gap through a phygital model (physical branches + digital decision-making).

As a technology and data-first company, tech lovers and data enthusiasts play a crucial role in building the analytics & tech at Optimo that helps the company thrive.

What We Offer:

Join our dynamic startup team as a Senior Data Analyst and play a crucial role in core data analytics projects involving credit risk, lending strategy, credit underwriting features analytics, collections, and portfolio management. The analytics team at Optimo works closely with the Credit & Risk departments, helping them make data-backed decisions.

This is an exceptional opportunity to learn, grow, and make a significant impact in a fast-paced startup environment. We believe that the freedom and accountability to make decisions in analytics and technology bring out the best in you and help us build the best for the company. This environment offers you a steep learning curve and an opportunity to experience the direct impact of your analytics contributions. Along with this, we offer industry-standard compensation.

What We Look For:

We are looking for individuals with a strong analytical mindset and a fundamental understanding of the lending industry, primarily focused on credit risk. We value not only your skills but also your attitude and hunger to learn, grow, lead, and thrive, both individually and as part of a team. We encourage you to take on challenges, bring in new ideas, implement them, and build the best analytics systems. Your willingness to put in the extra hours to build the best will be recognized.

Skills/Requirements:

• Credit Risk & Underwriting: Fundamental knowledge of credit risk and underwriting processes is mandatory. Experience in any lending financial institution is a must. A thorough understanding of all the features evaluated in the underwriting process like credit report info, bank statements, GST data, demographics, etc., is essential.
• Analytics (Python): Excellent proficiency in Python - Pandas and Numpy. A strong analytical mindset and the ability to extract actionable insights from any analysis are crucial. The ability to convert the given problem statements into actionable analytics tasks and frame effective approaches to tackle them is highly desirable.
• Good to have but not mandatory: REST APIs: A fundamental understanding of APIs and previous experience or projects related to API development or integrations. Git: Proficiency in version control systems, particularly Git. Experience in collaborative projects using Git is highly valued.

What You'll Be Working On:

• Analyze data from different data sources, extract information, and create action items to tackle the given open-ended problems.
• Build strong analytics systems and dashboards that provide easy access to data and insights, including the current status of the company, portfolio health, static pool, branch-wise performance, TAT (turnaround time) monitoring, and more.
• Assist the credit and risk team with insights and action items, helping them make data-backed decisions and fine-tune the credit policy (high involvement in the credit and underwriting process).
• Work on different rule engines that automate the underwriting process end-to-end.

Other Requirements:

• Availability for full-time work in Bangalore. Immediate joiners are preferred.
• Strong passion for analytics and problem-solving.
• At least 1 year of industry experience in an analytics role, specifically in a lending institution, is a must.
• Self-motivated and capable of working both independently and collaboratively.

If you are ready to embark on an exciting journey of growth, learning, and innovation, apply now to join our pioneering team in Bangalore.

Your Day-to-Day

• Assist our Growth Strategists in analyzing the results of A/B experiments.
• Analysis on customer engagement rates, customer acquisition projects ( ex. Churn rate prediction, Attribution etc. )
• Analyse marketing channel performance and Deep-dive reports to stakeholders and Management
• Building statistical experimentation templates for faster A/B outputs
• Work on forecasting models and assisting senior Management in creating frameworks on growth models

• Local implementation of marketing analytics projects related to improving marketing channels effectiveness, customer segmentation, campaign optimization, etc
• Monitor campaigns against key performance indicators (KPIs), be fully aware of trends and analytics, success and risks in order to achieve business objectives.

• Communicate complex ideas into understandable reports/documentation and this will include leveraging on leading software tools such as Tableau.
  
  

Your Know-Know

• 3-5 years of experience in strategy / consulting / analytical / project management roles; experience in e-commerce, Start-ups or Unicorns(CARS24,OLA,SWIGGY,FLIPKART,OYO) or entrepreneur experience preferred + At Least 2 years of experience leading a team
• Top-notch academics from a Tier 1 college (IIM / IIT/ NIT)
• Must have SQL/PostgreSQL/Tableau Experience. 
• Added advantage: Experience with Google Analytics, CRM (MoEngage, Braze,Leanplum).
• Preferred knowledge of statistical computer languages (Python / R, etc). 
• Analytical mindset with ability to present data in a structured and informative way
• Enjoy a fast-paced environment and can align business objectives with product priorities

Company Profile:

The company is World's No1 Global management consulting firm.

InViz is Bangalore Based Startup helping Enterprises simplifying the Search and Discovery experiences for both their end customers as well as their internal users. We use state-of-the-art technologies in Computer Vision, Natural Language Processing, Text Mining, and other ML techniques to extract information/concepts from data of different formats- text, images, videos and make them easily discoverable through simple human-friendly touchpoints. 

TSDE - Data 

Data Engineer:

• Should have total 3-6 Yrs of experience in Data Engineering.
• Person should have experience in coding data pipeline on GCP. 
• Prior experience on Hadoop systems is ideal as candidate may not have total GCP experience. 
• Strong on programming languages like Scala, Python, Java. 
• Good understanding of various data storage formats and it’s advantages. 
• Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). 
• Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. 
• Data Engineer Certification preferred 

Client  An IT Services Major, hiring for a leading insurance player.

Position: SENIOR CONSULTANT

Job Description:

• Azure admin- senior consultant with HD Insights(Big data)

Skills and Experience

• Microsoft Azure Administrator certification
• Bigdata project experience in Azure HDInsight Stack. big data processing frameworks such as Spark, Hadoop, Hive, Kafka or Hbase.
• Preferred: Insurance or BFSI domain experience
• 5 to 5 years of experience is required.

• Play a critical role as a member of the leadership team in shaping and supporting our overall company vision, day-to-day operations, and culture.
• Set the technical vision and build the technical product roadmap from launch to scale; including defining long-term goals and strategies
• Define best practices around coding methodologies, software development, and quality assurance
• Define innovative technical requirements and systems while balancing time, feasibility, cost and customer experience
• Build and support production products
• Ensure our internal processes and services comply with privacy and security regulations
• Establish a high performing, inclusive engineering culture focused on innovation, execution, growth and development
• Set a high bar for our overall engineering practices in support of our mission and goals
• Develop goals, roadmaps and delivery dates to help us scale quickly and sustainably
• Collaborate closely with Product, Business, Marketing and Data Science
• Experience with financial and transactional systems
• Experience engineering for large volumes of data at scale
• Experience with financial audit and compliance is a plus
• Experience building a successful consumer facing web and mobile apps at scale

Responsibilities: 
 

• The Machine & Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business. 
• The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) & ML solutions based on our reference architecture which is underpinned by big data & cloud technology, micro-service architecture and high performing compute infrastructure. 
• Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation. 

Required Skills: 
 

• An ideal candidate will have a background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems. 
• Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open-source libraries 
• Strong coding skills and fundamentals in data structures, predictive modeling, and big data concepts 
• Experience in designing full stack ML solutions in a distributed computing environment 
• Experience working with Python, Tensor Flow, Kera’s, Sci-kit, pandas, NumPy, AZURE, AWS GPU
• Excellent communication skills with multiple levels of the organization 
• Image CNN, Image processing, MRCNN, FRCNN experience is a must.