Tableau Jobs

Analytics@Pharmeasy wants to enable data driven decision making for achieving the core business objective of the company to make healthcare accessible & affordable to everyone. This would essentially require rigorous efforts being put into all domains of analytics from data collection to data extraction to data cleaning to data wrangling to descriptive analytics and eventually drawing business insights and communicate the same to the relevant business teams. We want to make analytics an integral part of every decision making at Pharmeasy because in today’s world subjectivity is something that is limited to academia and data can answer most of the questions Role Details A Sr. Business Analyst would be responsible for working closely with the Business Teams and helping them in making data driven decisions. This would require cross-communication between the Business Team, Product Team& Data Engineering as well. Apart from solving the business problem at hand, a Sr. Business Analyst would also be responsible for sharing insights and learnings basis the data exploration/ mining and convert these into clear action points and ensure that the same are being worked upon Responsibilities •Getting business requirements from the respective Business Teams, identifying the underlying business case and building a generalized solution •Extracting & Exploring the data from database and other sources that may exist, cleaning the data for any issues/ missing values also needs to be owned upon • Converting the cleaned data into actionable insights and sharing the same with relevant audience • Automation of data problems/ solutions that occur recursively • Flagging to Data Engineering in case of data sanity issues are to be seen • Ensure that the action insights shared with the business teams are worked upon • Knowledge sharing & mentoring within the team and outside if required Desired Skills/Experience • Proficient in MySQL & PostgreSQL, ability to handle complex/ inner queries • Hands-on with Microsoft Excel (basic data cleaning, pivoting and data exploration) • Must have worked on any one Data Visualization Tool (Tableau, Qlikview, Qliksense, Spotfire, PowerBIetc) • In-depth knowledge of atleast one of the Web/ Marketing Analytics tools like Google Analytics, Google Adwords, Clevertap, Omniture, Facebook Adwords etc is a must • Basic automation skills using Google Sheets or Microsoft Excel are expected • Proficiency of handling, cleaning, exploration, modelling on data in R/Python • Must have worked on Consumer Analytics like segmentation, churn prediction, conversion funnels etc • Communication skills to get the business requirements and give out the final insights • Data Inquisitiveness • 2-5 years of work experience in the relevant field, preferably in a consumer facing company

We are looking for a Data Analyst with a solid background in reporting and MIS generation.RESPONSIBILITIESYou will be responsible for creating and sharing reports and dashboards. You will work with cross-functional teams the reporting process including data acquisition and cleaning, report and dashboard creation and dissemination.MUST-HAVE1. A track record of building and deploying reports and dashboards - at least 2 years of experience.2. Good knowledge of SQL, especially MySQL3. Strong knowledge of MS Excel - know how to create pivots, use vlookup and other advanced formulae in MS Excel.4. Experience with creating Tableau dashboards5. Knowledge of the right visualization for each metric/KPI6. Demonstrated ability and hunger to learn7. Experience in writing Python code8. Exceptional communication skills - it is important to convey the essence of the data in your workGOOD-TO-HAVE1. A college degree.2. Experience with at least one NoSQL database.3. Good understanding of web technologies.Please DO NOT apply if you have not worked on creating reports and dashboards previously.

We’re looking for a generalist who'd primarily take on customer success and growth at Clarisights. Since we’re an early stage startup, there’s a lot to do and projects are fluid. However, here’s the kind of person we have in mind:You are excellent at communication. And not just writing or speaking, but you’re also excellent at listening to customers, prospects, peers, blogs, competitors and the industry you’re in.You take extreme amounts of ownership and pay attention to the tiniest details. Your EQ is off the charts, and your colleagues enjoy working with you even after a heated discussion.You understand programming logic and software well.You are smart enough to figure out the details with broad guiding principles.You are great at executing while maintaining crazy attention to quality.You are inherently curious and believe any process can be improved upon and actively work on it.Knowledge of digital marketing, particularly paid performance marketing is a big plus.Knowledge of SQL and building dashboards on Tableau/PowerBI is a great plus too.If this is you, we should talk.

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

3 or more years of experience in Python programming Good understanding of Object oriented programming concept. Should have working knowledge with flask and mongodb. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas,Numpy,Scikit learn,Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modelling or image recognition Data visualisation skills, e.g. in Tableau or qlikview would add advantage.

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

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

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)

Technovert is a fast growing premiere technology company founded by ex-Microsoft techies and has the best in class technology 'Spartans' of the industry. We work with enterprises in the International market that includes best of the world's technology companies such as Microsoft. We Are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of the problems and we love chasing the problems. It Thrills Us and motivates us to deliver more. The Business Intelligence (BI) developer is responsible for building, implementing and supporting Microsoft BI solutions. The right individual will possess experience in all stages of BI project work (requirements and logical design, physical design, implementation, testing and deployment). The BI Developer should have a firm grasp of BI implementation methodologies and will have had in-depth experience with the Microsoft BI Stack (SSIS, SSAS and SSRS). This position offers you the opportunity to expand your skills in BI, as you join a growing and dynamic team with a trusted data center solution provider for many of the worlds leading enterprises. You'll be exposed to new methodologies, tools and technical skills. We are looking for candidates who are hands-on with T-SQL and MDX Query Languages along with the below mentioned skill set. • Relational Database and SQL Language • Data Warehouse / Solution Design • Dimensional Modeling • Analytics / OLAP Cube Development (Microsoft SSAS and MDX) • Analytics / Tabular Cube Development (Microsoft SSAS and DAX) • Report Development (Microsoft SSRS) • Good ETL knowledge (Microsoft SSIS) • Power Pivot and Power View • Power BI Analysis and Communication Skills: • Data gathering, research and analytical abilities so as to develop insightful conclusions and generate solutions to address user needs • Create written communication materials that effectively summarize findings and support recommendations • Direct quality assurance and user acceptance testing by writing test plans and managing the execution of testing (Unit and UAT) Any knowledge on Power BI, Tableau, Data Zen, Power View, Power Pivot is a great plus!

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.