Tableau Jobs

We are looking for young engineers for building analytical dashboards in Tableau. - Knowledge in Tableau and RDBMS is must - Good analytical skills - Knowledge on Data warehousing and Reporting tools will be advantageous

Job Requirement Installation, configuration and administration of Big Data components (including Hadoop/Spark) for batch and real-time analytics and data hubs Capable of processing large sets of structured, semi-structured and unstructured data Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review. Familiar with data architecture for designing data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing Optional - Visual communicator ability to convert and present data in an easy comprehensible visualization using tools like D3.js, Tableau To enjoy being challenged, solve complex problems on a daily basis Proficient in executing efficient and robust ETL workflows To be able to work in teams and collaborate with others to clarify requirements To be able to tune Hadoop solutions to improve performance and end-user experience To have strong co-ordination and project management skills to handle complex projects Engineering background

About Us:Paysense is Nexus and Jungle funded startup focussed on improving the financial lives of the indian consumer. In an exclusive partnership with India Infoline (IIFL ~$600 mn networth), we are reinventing credit and access to it for the next billion Indian consumers. Traditional banks and lending institutions in India are serving less than 5% of all credit requirements. Primary sources of data on consumer spend and credit behaviour either do not exist, or, are fundamentally broken. We saw this as an opportunity to build out large scale credit system from scratch. Our team comprises of engineers, data scientists and product leaders from Stanford, IIT and UCLA; and we are looking for mission driven team mates who are ambitious, work hard, are super smart and yet humble. If this sounds like you, we’d love to have a chat.About the job:- Immerse yourself in all aspects of credit world; become a subject matter expert- Build high-visibility reports and dashboards used by teams and management across the company- Work closely with product and tech teams to quantify impact of existing products and brainstorm new ideas. Should we launch a new credit payments product for our customers, or improve existing ones?- Work with data science team to tune our existing algorithms (default prediction, fraud detection, etc), and build new algos to intelligently identify trends in our data. - Partner closely with business and operations team to find ways to optimize current processes through data and define new ones About you:- You are an engineering-minded analyst with 2+ years of experience applying analytical techniques and building analytical tools - You are able to write complex SQL in your sleep- You have working knowledge of ETL and data warehousing concepts- You are able to hack your way through Python, R or other programming environments- Good to have experience in using one or more visualization tools (Tableau, D3, etc)- Good to have experience of working with a web-oriented company, supporting engineering, product or operations functions.- Must have an statistics/engineering degree from Tier-1 college.

Description Requirements: Overall experience of 10 years with minimum 6 years data analysis experience MBA Finance or Similar background profile Ability to lead projects and work independently Must have the ability to write complex SQL, doing cohort analysis, comparative analysis etc . Experience working directly with business users to build reports, dashboards and solving business questions with data Experience with doing analysis using Python and Spark is a plus Experience with MicroStrategy or Tableau is a plu

Simplilearn.com is the world’s largest professional certifications company and an Onalytica Top 20 influential brand. With a library of 400+ courses, we've helped 500,000+ professionals advance their careers, delivering $5 billion in pay raises. Simplilearn has over 6500 employees worldwide and our customers include Fortune 1000 companies, top universities, leading agencies and hundreds of thousands of working professionals. We are growing over 200% year on year and having fun doing it. Description We are looking for candidates with strong technical skills and proven track record in building predictive solutions for enterprises. This is a very challenging role and provides an opportunity to work on developing insights based Ed-Tech software products used by large set of customers across globe. It provides an exciting opportunity to work across various advanced analytics & data science problem statement using cutting-edge modern technologies collaborating with product, marketing & sales teams. Responsibilities • Work on enterprise level advanced reporting requirements & data analysis. • Solve various data science problems customer engagement, dynamic pricing, lead scoring, NPS improvement, optimization, chatbots etc. • Work on data engineering problems utilizing our tech stack - S3 Datalake, Spark, Redshift, Presto, Druid, Airflow etc. • Collect relevant data from source systems/Use crawling and parsing infrastructure to put together data sets. • Craft, conduct and analyse A/B experiments to evaluate machine learning models/algorithms. • Communicate findings and take algorithms/models to production with ownership. Desired Skills • BE/BTech/MSc/MS in Computer Science or related technical field. • 2-5 years of experience in advanced analytics discipline with solid data engineering & visualization skills. • Strong SQL skills and BI skills using Tableau & ability to perform various complex analytics in data. • Ability to propose hypothesis and design experiments in the context of specific problems using statistics & ML algorithms. • Good overlap with Modern Data processing framework such as AWS-lambda, Spark using Scala or Python. • Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting various A/B experiments. • Bachelor Degree in Statistics or, prior experience with Ed-Tech is a plus

Sattva Consulting is a leading consultancy firm in social impact sector. We work with foundations, CSR and non-profits to create scalable and sustainable solutions for social impact (www.sattva.co.in) We are looking for a data scientist with Tableau expertise. The person will play a key role in influencing social development projects through data-driven insights. Entrepreneurial attitude is another key trait we value.

1 to 3 years of experience in product analytics - Highly conversant with Google Analytics and other similar tools - Basic programming ability(preferably R or Python)

Sr BI Analyst / Lead BI Analyst Must Have: At least 3 to 6 years of techno functional / technical experience in delivering projects for Large Enterprises Strong background in data analysis, data sources, data warehouse and business intelligence Progressive experience in areas of ETL, Data Modelling, Data Visualization, Reporting and Analytics Familiarity with database concepts, SQL queries, joins and programming Experience in system administration, problem debugging, and solution design Formal education in technology, engineering and programming Ability to demonstrate strong technical aptitude Experience in handling customer communication Ability to manage individual contribution and workload, setting expectations and self-learning Familiarity with self-service BI products such as Tableau, Qlikview, Spotfire, Power BI, MSBI Additional Requirements (Nice to have): Understanding of data challenges encountered by business users Domain expertise to any of the following domains highly desired - Finance, Banking, Insurance, Healthcare, Pharmaceuticals

Sr BI Analyst / Lead BI Analyst Must Have: At least 3 to 6 years of techno functional / technical experience in delivering projects for Large Enterprises Strong background in data analysis, data sources, data warehouse and business intelligence Progressive experience in areas of ETL, Data Modelling, Data Visualization, Reporting and Analytics Familiarity with database concepts, SQL queries, joins and programming Experience in system administration, problem debugging, and solution design Formal education in technology, engineering and programming Ability to demonstrate strong technical aptitude Experience in handling customer communication Ability to manage individual contribution and workload, setting expectations and self-learning Familiarity with self-service BI products such as Tableau, Qlikview, Spotfire, Power BI, MSBI Additional Requirements (Nice to have): Understanding of data challenges encountered by business users Domain expertise to any of the following domains highly desired - Finance, Banking, Insurance, Healthcare, Pharmaceuticals

Factspan Overview: Established in 2012, Factspan is a leading pure play analytics company with expertise in converting data into actionable business insights. Our teams of mathematicians, statisticians and data scientists are experienced in various aspects of decision sciences. We complement such horizontal skills with knowledge of our clients industries. As needed, we also supplement our US based teams with resources in cost effective locations such as India. Headquartered in Seattle, we also have offices in Seattle, San Francisco Bay Area and Bangalore. Our clients include Fortune 100 companies in Retail, Financial Services, Insurance and Technology industries. Our Vision is to be the foremost player in the business analytics space. Roles and Responsibilities: • Interacting with client/onsite team to understand client's business problems, defining, executing and delivering the analytical solution to the business problems • Conceptualize the analytical methodology for business problems and propose an end-to-end process flowchart for the project/business problem with possible set of statistical solutions. • Responsible for discussing and finalizing the above methodology with the client, getting their buy-in, and guiding the offshore resources on the selected procedures. • Communicate expectations and establish deadlines in agreement with client and delivery team. • Understand the nature of the data and how it relates to the problem at hand. • Manage operational workflow and ensure seamless delivery for both quick turnaround analysis and long term projects. • Ensure delivery is smooth and error free. • Communicate analysis and recommendations to all levels of the business through written and verbal communications. Follow up with client for any modifications and feedback. • Carry out all aspects of project management including work planning, estimation, scope refinement, quality and delivery • Communicate difficult messages to the client with persuasiveness and sensitivity so that delivery and business is not impacted • Have excellent skills in making developing power-point presentations and sales collateral. • Being part of sales presentations and contributing to RFPs/RFIs thereby being able to win new business from existing and new clients. Qualification & Experience: • Experience into Marketing/Retail/Social Media/Supply Chain/Loyality Analytics • Bachelor’s or Master’s degree in Economics/Statistics/Econometrics/Mathematics/Engineering and Operations Research • Ability to think: Possess strong analytical/logical thinking skills. • Strong structured problem solving skills • Experience with statistical software such as SQL, R, etc • Excellent skills in writing SQL, PLSQL & stored procedures. • Experience working with US clients • Excellent MS skills to present data tables and charts • Proven experience in MS Excel, VBA & Tableau for reporting and visualization of data analysis. Behavioral Attributes: • Analytical/Strategic/Conceptual thinking • Excellent Verbal/Written communication • Excellent Collaboration/Interpersonal/Presentation skills • Strong Project Management skills Reference Company Links: • www.factspan.com • https://www.linkedin.com/company/factspan-inc • https://www.facebook.com/factspan

Exusia, Inc. (ex-OO-see-ah: translated from Greek to mean "Immensely Powerful and Agile") was founded with the objective of addressing a growing gap in the data innovation and engineering space as the next global leader in big data, analytics, data integration and cloud computing solutions. Exusia is a multinational, delivery centric firm that provides consulting and software as a service (SaaS) solutions to leading financial, government, healthcare, telecommunications and high technology organizations facing the largest data volumes and the most complex information management requirements. Exusia was founded in the United States in 2012 with headquarters in New York City and regional US offices in Chicago, Atlanta and Los Angeles. Exusia’s international presence continues to expand and is driven from Toronto (Canada), Sao Paulo (Brazil), Johannesburg (South Africa) and Pune (India). Our mission is to empower clients to grow revenue, optimize costs and satisfy regulatory requirements through the innovative use of information and analytics. We leverage a unique blend of strategy, intellectual property, technical execution and outsourcing to enable our clients to achieve significant returns on investment for their business, data and technology initiatives. At the core of our philosophy is a quality-first, trust-building, delivery-focused client relationship. The foundation of this relationship is the talent of our team. By recruiting and retaining the best talent in the industry, we are able to deliver to clients, whose data volumes and requirements number among the largest in the world, a broad range of customized, cutting edge solutions.