We are looking for a Business Intelligence (BI)/Data Analyst to create and manage Power Bl and analytics solutions that turn data into knowledge. In this role, you should have a background in data and business analysis. If you are self-directed, passionate about data,
and have business acumen and problem-solving aptitude, we'd like to meet you. Ultimately, you will enhance our business intelligence system to help us make better decisions.
Requirements and Qualifications
- BSc/BA in Computer Science, Engineering, or relevant field.
- Financial experience and Marketing background is a plus
- Strong Power BI development skills including Migration of existing deliverables to PowerBl.
- Ability to work autonomously
- Data modelling, Calculations, Conversions, Scheduling Data refreshes in Power-BI.
- Proven experience as a Power BI Developer is a must.
- Industry experience is preferred. Familiarity with other BI tools (Tableau, QlikView).
- Analytical mind with a problem-solving aptitude.
Responsibilities
- Design, develop and maintain business intelligence solutions
- Craft and execute queries upon request for data
- Present information through reports and visualization based on requirements gathered from stakeholders
- Interact with the team to gain an understanding of the business environment, technical context, and organizational strategic direction
- Design, build and deploy new, and extend existing dashboards and reports that synthesize distributed data sources
- Ensure data accuracy, performance, usability, and functionality requirements of BI platform
- Manage data through MS Excel, Google sheets, and SQL applications, as required and support other analytics platforms
- Develop and execute database queries and conduct analyses
- Develop and update technical documentation requirements
- Communicate insights to both technical and non-technical audiences.
About Leading technology and digital marketing company.(IC1)
Similar jobs
● Knowledge of Excel,SQL and writing code in python.
● Experience with Reporting and Business Intelligence tools like Tableau, Metabase.
● Exposure with distributed analytics processing technologies is desired (e.g. Hive, Spark).
● Experience with Clevertap, Mixpanel, Amplitude, etc.
● Excellent communication skills.
● Background in market research and project management.
● Attention to detail.
● Problem-solving aptitude.
Professional experience in Python – Mandatory experience
Basic knowledge of any BI Tool (Microsoft Power BI, Tableau etc.) and experience in R
will be an added advantage
Proficient in Excel
Good verbal and written communication skills
Key Responsibilities:
Analyze data trends and provide intelligent business insights, monitor operational and
business metrics
Complete ownership of business excellence dashboard and preparation of reports for
senior management stating trends, patterns, and predictions using relevant data
Review, validate and analyse data points and implement new data analysis
methodologies
Perform data profiling to identify and understand anomalies
Perform analysis to assess quality and meaning of data
Develop policies and procedures for the collection and analysis of data
Analyse existing process with the help of data and propose process change and/or lead
process re-engineering initiatives
Use BI Tools (Microsoft Power BI/Tableau) and develop and manage BI solutions
ROLE AND RESPONSIBILITIES
Should be able to work as an individual contributor and maintain good relationship with stakeholders. Should
be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and
transform data into insights that drive business value, through use of data analytics, data visualization and data
modeling techniques.
QUALIFICATIONS AND EDUCATION REQUIREMENTS
Technical Bachelor’s Degree.
Non-Technical Degree holders should have 1+ years of relevant experience.
- Strong communication skills are essential, as the selected candidate will be responsible for leading a team of two in the future.
- Proficiency in SQL.
- Expertise in Data Modelling.
- Experience with Azure Data Factory (ADF).
- Competence in Power BI.
- SQL – Should be strong in Data Modeling , Tables Design and SQL Queries.
- ADF – Must have hands-on experience in ADF pipelines and its set-up from End-to-End in Azure including subscriptions, IR and Resource Group creations.
- Power BI – Hands-on knowledge in Power BI reports including documentation and follow existing standards.
- Creating and managing ETL/ELT pipelines based on requirements
- Build PowerBI dashboards and manage datasets needed.
- Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
- Build data cubes for real-time visualisation needs and CXO dashboards.
Required Tech Skills
- Microsoft PowerBI & DAX
- Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
- Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory
Senior Data Scientist-Job Description
The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions. She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.
Key Responsibilities:
- Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
- Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
- Generate clearly understood and intuitive data science / advanced analytics outputs.
- Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
- Participate in best practice sharing and communication platform for advancement of the data science discipline.
- Coach and collaborate with other data scientists and data analysts.
- Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
- Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.
Qualification:
- Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
- 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
- Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
- Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
- Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
- Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
- Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
- Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
- Strong written and verbal communications skills, as well as presentation skills.
4-6 years of total experience in data warehousing and business intelligence
3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)
2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)
Strong experience building visually appealing UI/UX in Power BI
Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)
Experience building Power BI using large data in direct query mode
Expert SQL background (query building, stored procedure, optimizing performance)
About Us
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.
-
upGrad was awarded the Best Tech for Education by IAMAI for 2018-19
-
upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-
after startups in India
-
upGrad was earlier selected as one of the top ten most innovative companies in India
by FastCompany.
-
We were also covered by the Financial Times along with other disruptors in Ed-Tech
-
upGrad is the official education partner for Government of India - Startup India
program
-
Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning
Role Summary
Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.
Roles & Responsibilities-
- 3+ years of experience in analytics, data science, machine learning or comparable role
- Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline
- Experience in building and deploying Machine Learning models in Production systems
- Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
- Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
- Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders
- Comfortable dealing with ambiguity and competing objectives
Skills Required
-
Experience in Text Analytics, Natural Language Processing
-
Advanced degree in Data Science/Data Analytics or Math/Statistics
-
Comfortable with data-visualization tools and techniques
-
Knowledge of AWS and Data Warehousing
-
Passion for building data-products for Production systems - a strong desire to impact
the product through data-science technique
-
- Create, maintain and automate datasets and insightful dashboards to track core metrics and extract business insights
- Analyze large-scale structured and unstructured data to identify business opportunities and optimize features for Analytics.
- 8+ years experience doing Business Intelligence and Analytics work
- B.Tech/M.Tech in a technical field (Computer Science, Math, Statistics)
- Strong knowledge in Data Design, Data Modelling, and Data Validation best practices
- Proficient in data visualization, Preferably SSRS & Power BI
- Fluency with writing advanced SQL code
- Experience with SQL Server Administration and best practices
- Possess BFSI, Fintech Domain Knowledge
- Excellent interpersonal, cross-functional, communication, writing, and presentation skills
- Comfortable working in a fast-paced environment with the ability to be a team player
- Possess excellent Project Management and superior Team Management skills