Ab>initio, Big Data, Informatica, Tableau, Data Architect, Cognos, Microstrategy, Healther Business Analysts, Cloud etc.
at Exusia
About Exusia
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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.
Skills & Experience:
❖ At least 5+ years of experience as a Data Engineer
❖ Hands-on and in-depth experience with Star / Snowflake schema design, data modeling,
data pipelining and MLOps.
❖ Experience in Data Warehouse technologies (e.g. Snowflake, AWS Redshift, etc)
❖ Experience in AWS data pipelines (Lambda, AWS glue, Step functions, etc)
❖ Proficient in SQL
❖ At least one major programming language (Python / Java)
❖ Experience with Data Analysis Tools such as Looker or Tableau
❖ Experience with Pandas, Numpy, Scikit-learn, and Jupyter notebooks preferred
❖ Familiarity with Git, GitHub, and JIRA.
❖ Ability to locate & resolve data quality issues
❖ Ability to demonstrate end to ed data platform support experience
Other Skills:
❖ Individual contributor
❖ Hands-on with the programming
❖ Strong analytical and problem solving skills with meticulous attention to detail
❖ A positive mindset and can-do attitude
❖ To be a great team player
❖ To have an eye for detail
❖ Looking for opportunities to simplify, automate tasks, and build reusable components.
❖ Ability to judge suitability of new technologies for solving business problems
❖ Build strong relationships with analysts, business, and engineering stakeholders
❖ Task Prioritization
❖ Familiar with agile methodologies.
❖ Fintech or Financial services industry experience
❖ Eagerness to learn, about the Private Equity/Venture Capital ecosystem and associated
secondary market
Responsibilities:
o Design, develop and maintain a data platform that is accurate, secure, available, and fast.
o Engineer efficient, adaptable, and scalable data pipelines to process data.
o Integrate and maintain a variety of data sources: different databases, APIs, SAASs, files, logs,
events, etc.
o Create standardized datasets to service a wide variety of use cases.
o Develop subject-matter expertise in tables, systems, and processes.
o Partner with product and engineering to ensure product changes integrate well with the
data platform.
o Partner with diverse stakeholder teams, understand their challenges and empower them
with data solutions to meet their goals.
o Perform data quality on data sources and automate and maintain a quality control
capability.
Responsibilities
- Manage and drive a team of Data Analysts and Sr. Data Analysts to provide logistics and supply chain solutions.
- Conduct meetings with Clients to gather the requirements and understand the scope.
- Conduct meetings with internal stake holders to walk them through the solution and handover the analysis.
- Define business problems, identify solutions, provide analysis and insights from the client's data.
- 5 Conduct scheduled progress reviews on all projects and interact with onsite team daily.
- Ensure solutions are delivered error free and submitted on time.
- Implement ETL processes using Pentaho Data Integration (Pentaho ETL)Design and implement data models in Hadoop.
- Provide end-user training and technical assistance to maximize utilization of tools.
- Deliver technical guidance to team, including hands-on development as necessary; oversee standards, change controls and documentation library for training and reuse.
Requirements
- Bachelor's degree in Engineering.
- 16+ years of experience in Supply Chain and logistics or related industry and Analytics experience.
- 3 years of experience in team handling(8+People) and interacting with the executive leadership teams.
- Strong project and time management skills with ability to multitask and prioritize workload.
- Solid expertise with MS Excel, SQL, any visualization tools like Tableau/Power BI, any ETL tools.
- Proficiency in Hadoop / Hive.
- Experience Pentaho ETL, Pentaho Visualization API, Tableau.
- Hands on experience of working with Big data sets (Data sets with millions of records).
- Strong technical and Management experience.
Desired Skills and Experience
- NET,ASP.NET
Location: Chennai
Education: BE/BTech
Experience: Minimum 3+ years of experience as a Data Scientist/Data Engineer
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
- To be part of Digital Manufacturing and Industrie 4.0 projects across client group of companies
- Design and develop AI//ML models to be deployed across factories
- Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
- Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
- Prior experience in developing AI and ML models is required
- Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
- Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
- Multitasking, good communication necessary
- Entrepreneurial attitude
Additional Information:
- Travel: Must be willing to travel on shorter duration within India and abroad
- Job Location: Chennai
- Reporting to: Team Leader, Energy Management System
Job Description:
- Bookkeeping and accounting in Tally ERP, Xero, QuickBooks, and applicable accounting software
- Responsible for preparation and management of books of accounts, records, and documents for foreign entities
- Preparation and reporting of Monthly/periodical MIS.
- Managing billing, receivables, and collection.
- Liaising with foreign consultants with respect to Bookkeeping, compliances
- Ensure compliance under various laws for payroll and non-payroll compliances.
- Managing Audits of the offshore entities under different statutes (GST/Sales Tax, Companies House)
- Managing payroll and payroll compliances
- Managing Banking operations and payments and operational fund flow/cash flow.
- Desired Candidate Profile:
- Must have good communication skills to deal with foreign clients.
- Should have good knowledge of MS office and tally.
- Experience in Corporate Reporting, MIS, Power BI and Tableau etc.
What you will do:
- Bringing data to life via Historical and Real Time Dashboard like:
2. Transaction behavior analytics
3. User level analytics
4. Propensity models and personalization models, eg whats the best product or offer to drive a sale
5. Emails/ SMS/ AN – analytics models getting data from platforms like Netcore+ Branch+ Internal Tables
6. Other reports that are relevant to know what is working, gaps, etc
- Monitoring key metrics such as commission, gross margin, conversion, customer acquisitions etc
- Using the data models and reports to draw actionable and meaningful insights. Based on the insights helping drive the strategy, optimization opportunities, product improvement and more
- Demonstrating examples where data interpretation led to improvement in core business outcomes like better conversion, better ROI from Ad spends, improvements in product etc.
- Digging into data to identify opportunities or problems and translating them into easy-to-understand way for all key business teams
- Working closely with various business stakeholders: Marketing, Customer Insights, Growth and Product teams
- Ensuring effective and timely delivery of reports and insights that analyze business functions and key operations and performance metrics
What you need to have:
- Minimum 2 years of data analytics and interpretation experience
- Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
- Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
- Strong marketing acumen to be able to translate data into marketing outcomes
- Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
- Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)
Tableau Developer Responsibilities:
- Developing, maintaining, and managing advanced reporting, analytics, dashboards and other BI solutions.
- Performing and documenting data analysis, data validation, and data mapping/design.
- Reviewing and improving existing systems and collaborating with teams to integrate new systems.
- Conducting unit tests and developing database queries to analyze the effects and troubleshoot any issues.
- Creating tools to store data within the organization.
Roles and Responsibilities:
- Review training content and assessments. The review parameters include (but are not limited to) the following:
○ Rewrite the training content wherever necessary to simplify it or to make it more age
appropriate.
○ Create engaging learning activities and provide exercises and activities that enhance
the learning process.
○ Devise modes of assessment, such as tests or quizzes, to measure the effectiveness
of course.
○ Analyze and apply trends and best practices in learning technologies and instructional
design.
○ Suggest instructional enhancements to the content and assessments so the learning
experience is superior.
○ Check if all the training assets follow the instructional guidelines.
○ Work with subject matter experts to identify target audience’s training needs
○ Do a thorough language review.
○ Do a thorough formatting check and fixes.
- Brainstorm with the content developer to storyboard the concepts introduced in a lesson/chapter.
- Create guidelines and templates as and when needed.
- Conduct audits of the live classes to check how the content is getting translated into the actual class experience.
- Give inputs for process improvements.
Skill Set:
- General:
- In-depth understanding of activity based teaching-learning methods with a strong knowledge of pedagogies to teach 21st Century Skills.
- At least 3-4 years of experience in instructional design and/or content writing.
- Experience in editing documents with an eye for details.
- Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards.
- Creative and analytical thinker with strong problem-solving skills.
- Excellent verbal and written communication skills.
○ Must demonstrate the ability to communicate effectively at all levels of the
organization.
- Technical:
- Understanding of Object-Oriented concepts.
- Basic understanding of core programming concepts with teaching skills will be an asset.
- Good exposure on-
- Object-Oriented Programming language(s) (preferably JavaScript/Python)
- Web Technology (HTML/CSS/JavaScript)- Front End Development
- Block-Based Coding environment like Code.org or Scratch will be a plus
- Knowledge of RDBMS (MySQL, Airtable, Firebase etc.) will be an added advantage
Informatica PowerCenter (9x ,10.2) : Minimum 2+ years experience
SQL / PLSQL: Understanding of SQL procedure. Able to convert procedures into Informatica mapping.
Good to have- Advantage if you have knowledge of Windows Batch Script.
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upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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