Tableau Developer Jobs

Join our team as a Data Analyst Intern based in Chennai, India. As a Data Analyst, you will be responsible for analyzing data, identifying trends, and creating reports to support business decisions. Your key responsibilities will include cleaning and organizing data, conducting statistical analysis, and creating data visualizations to communicate insights. To excel in this role, you must have strong analytical skills, proficiency in data analysis tools such as Excel and SQL, and the ability to work independently in a remote work environment. A graduate degree in a related field is required, and previous experience in data analysis is preferred but not necessary. This internship will provide valuable hands-on experience and the opportunity to develop key skills in data analysis.the registration fee is 899

Bachelors degree in Computer Science, Data Engineering, Information Systems, or a related field. 4 years + experience working with SQL and managing data pipelines. Strong proficiency in SQL, with experience in Oracle and BigQuery databases. Must Have Skills Proficiency in Tableau for dashboard creation and data visualization Strong programming skills in Python for data analysis and automation Advanced expertise in SQL, including complex and new SQL querying techniques Experience with NoSQL databases, particularly MongoDB Excellent communication skills. Proven ability to find actionable insights from large and complex datasets Experience creating various types of analytical dashboards Hands-on experience working with and managing large volumes of data

Job Description: The Data Team ensures accurate, timely, and actionable insights by managing data infrastructure, creating reports, and supporting analytics across the company. They help drive informed decisions through data collection, processing, and analysis.Key Responsibilities: Collect, clean, and maintain large datasets Build dashboards and reporting tools for stakeholders Perform data analysis to support business strategy Ensure data integrity and compliance with privacy regulations Collaborate with teams to define data needs and priorities

Role Overview:We are seeking a highly motivated and passionate Data Scientist to join our growing team.In this role, you will work on a variety of exciting projects, applying your expertise in dataanalysis, machine learning, and artificial intelligence to solve real-world problems. The idealcandidate will have a strong foundation in Python programming and experience withrelevant AI technologies, including Generative AI, Large Language Models, and Image AI.Key Responsibilities: Develop and implement machine learning models and algorithms to addressbusiness needs. Utilize Python and its associated libraries (e.g., scikit-learn, TensorFlow, PyTorch) fordata analysis, modeling, and automation. Work with APIs to integrate data sources and machine learning models intoapplications. Explore and experiment with Generative AI techniques and Large Language Models(LLMs) for various applications. Apply Image AI techniques for tasks such as image recognition, classification, andanalysis. Collect, clean, and preprocess data from diverse sources. Evaluate model performance and fine-tune models for optimal results. Communicate findings and insights to technical and non-technical stakeholders. Stay up-to-date with the latest advancements in data science, machine learning, andAI. Collaborate with cross-functional teams, including engineers, product managers, anddomain experts.Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or arelated field. 0-3 years of experience in a data science role or related field. Strong proficiency in Python programming. Experience working with APIs. Familiarity with Generative AI concepts and techniques. Understanding of Large Language Models (LLMs) and their applications. Knowledge of Image AI principles and methods.

Job Title: Azure Data EngineerLocation: Bangalore Employment Type: Full-time Experience: 5-7 yearsKey ResponsibilitiesLead and execute complex data engineering projects from conception to deployment.Develop and maintain scalable data pipelines and architectures.Perform data extraction, transformation, and loading (ETL) to support data science initiatives.Design and implement data storage solutions for various healthcare finance applications.Collaborate with data scientists to optimize machine learning models and algorithms.Implement data governance and security best practices.Develop and maintain documentation for data engineering processes and workflows.Collaborate with cross-functional teams to integrate data engineering solutions into business processes.Mentor junior data engineers and contribute to the teams knowledge base.QualificationsMasters degree in Computer Science, Statistics, or a related field.Proven hands-on experience in data engineering and data analytics components.At least one significant contribution to an impactful real-world project.Demonstrated ability to learn, adapt to, and innovate new technologies and methodologies.Strong programming skills in Python and SQL.Experience with Azure Data Services, including Data Factory, Azure SQL, and Data Lake Storage.Hands-on experience with Databricks for big data processing and analytics.Proficiency in Power BI and Tableau for data visualization and reporting.Strong problem-solving and analytical skills.Excellent communication and collaboration abilities.Preferred QualificationsExperience in the healthcare finance industry.Experience with big data technologies such as Hadoop, Spark, etc.What We OfferCompetitive salary and benefits package.Opportunities for professional growth and development.A collaborative and innovative work environment.Mentoring by senior technical and business leaders.An unprecedented opportunity to make a meaningful impact on healthcare finance o

We are looking for a Machine Learning (ML) Data engineer who will partner with application teams and assist with data analysis and research; conducting tactical data extracts and build balanced ML and Data pipelines; deploy AI/ML models and build reports to measure deployed model efficiency.Key Responsibilities: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to productionRequired Hands-on experience in Data Warehouse, ETL, Data Modeling & Reporting. 7+ years of hands-on experience in productizing and deploying Big Data platforms and applications, Hands-on experience working with: Relational/SQL, distributed columnar data stores/NoSQL databases, time-series databases, Spark streaming, Kafka, Hive, Redshift and more Familiarity with data pipelines and ML pipelines right from Data Extraction to Insights generation Highly skilled in SQL, Python, Spark, AWS S3, Hive Data Catalog, Parquet, Redshift, Airflow, and Tableau or similar tools. Proven experience in building a Custom Enterprise Data Warehouse or implementing tools like Data Catalogs, Spark, Tableau, Kubernetes, and Docker D

Key Responsibility Area: ( Specifies Key Result Areas for the Incumbent )o Overall responsibility for servicing clients on Analytics/Advisory and managing the analytics team.o Hands on advanced knowledge of analytical techniques, advanced knowledge of SQL or otherstructured language, advanced knowledge of Excel.o Design and develop analytics products and services.o Works closely with the Client(s) on scorecards, advisory and modeling.o Develop models and use analytics for refined data capturing and analysis.o Provide leadership to the analytics team and assist the leadership to deliver results, business goalsand commitments.o Financial Services/ Consumer banking business(preferred) - with extensive analytics orientation.o Work on processes to continuously update rules/procedures to optimize results & manage day-to-day activities with the team.o Support various special project assignments.Eligibility Criteria: (Skill set required to do the job- Knowledge, Tools, Technical Knowledge, Certifications etc.)o Proven track record with database languages (e.g., SQL) and statistical software (e.g., R, Python), and visualization tools (e.g., Tableau, PowerBI, QlikView).o Well versed with MS Excel advanced & VBA.o Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.o Good to have conceptual or working knowledge of Machine Learning & AI, cloud platforms (e.g. AWS, GCP, Azure)

TableauA tableau developer creates computer system and data visualization solutions to improve business procedures. Tableau developers create tableau dashboard reports, collaborate with other developers, and attend feedback sessions to improve systems

One of the UpAdapt's client is looking for Voice Executive position:Job Type: PermanentLocation: MumbaiRelevant experience: 5+ yearsCTC: Upto 15 LPAExcellent communication skills is mustWork experience in Banking & Financial Organization mandatory.Availability Immediate or Maximum 30 days.

Creating, developing and maintaining SQL databases Ensuring database performance and stability Creating database tables, structures, schemas and dictionaries Ensuring data quality, integrity and security Preparing documentations for database applications Creating SQL queries that integrate with other applications Providing authorization or databases Creating scripts, functions, trigger and procedures that support application development Testing databases and performing bug fixes Fixing any issues related to performance Providing solutions for corrective measures Handling regular procedures like database backup, recovery and upgrade Providing memory management for systems

Responsibilities: Design and develop AI models and algorithms for various applications, including natural language processing, computer vision, and predictive analytics. Build and maintain BI dashboards and reports for data visualization and decision making. Collect and analyse large amounts of data from various sources to identify trends, patterns, and insights. Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions to meet their needs. Stay up to date with the latest AI and BI technologies and tools and recommend new technologies as appropriate.Requirements: Bachelor's or Master's degree in Computer Science, Mathematics, or a related field Proven working experience of minimum 2+ years in machine learning, data mining, and statistical analysis. Proficient in programming languages such as Python, R, or SQL. Experience with BI tools such as Power BI, Tableau, or equivalent tools. Excellent analytical and problem-solving skills. Strong communication and collaboration skills.

Job Title : SAP BO/BI DeveloperExp : 4-6 yrsJob Location : ChennaiNotice Period : Immediate to 30 daysPosition :4Job DescriptionStrong communication and client interfacing skillsHands-on experience working with BO Tools , Lumira ,Tableau, PowerBI or SAC is Mandatory.Confirmed knowledge in the Design and Configuration of Sales/Planning/Finance Info Providers withBW on HANA experienceHands-on experience working with SAP BW on HANA features, standard and custom SAP BWExtractors, complex transformations using ABAP, advanced DSOs, composite providers, exposing BWmodels as HANA views, mixed scenarios, HANA Analysis process in BW and LSA ++ and performanceoptimization conceptsExperience with BO Development and Frontend tools using Javascript & Jquery.2+ years of hands-on experience with SAP (Native) HANA data modelling views (Attribute, Analytics andCalculation views) with graphical and SQL scripting, procedures schema management, dataprovisioning technology including SAP LT Replication Server, Data Services (BODS)Proven ability to handle efficient collection and migration of Transport Requests through the landscapeExperience in Performance tuning and troubleshooting activities as necessaryGood Knowledge of Data Warehouse & BI Concepts

Job Requirement 3+ years of experience as Tableau developer Responsible for performing a range of functions in the areas of technical design/review, development, deployment and integration of large Data Warehouse & Business Intelligence solutions. Preparing data for use by Tableau Establishing connections to multiple data sources Adding/creating Dimensions, Measures and Calculations Performing data modelling , Developing & Publishing Workbooks Utilizing Alteryx for data ingestion and preparation Strong RDBMS & data modelling skills Sound knowledge of various Table joining and appending concepts Experience working with multiple data sources Experience with Alteryx is a big plus Experience with Azure cloud is a big plus Experience working within network and information security environment is a big plus

Extensive experience in developing, maintaining and managing Tableau driven dashboards & analytics and working knowledge of Tableau administration/architecture.-> Expertise in handling all Tableau products (Desktop, Public, Server, Online, and Reader)-> Excellent analytical skills to analyze business needs.-> Identify, analyze, and interpret trends or patterns in complex data sets.-> Designing visually appealing dashboards.-> Tweaking SQL queries for improving performances.-> Examining glitches in business processes and resolving them.Keyskills (Mandatory):-> Tableau Development-> Alteryx-> SQL Server

Should have strong Data Visualization experience on Tableau. Experience on Sisense is an added advantage Should have worked on data exposure via AWS Redshift or Aurora Postgres Should have hands-on experience and expertise on handling performance efficient Measures, Dimensions and TDEs Should have experience on building Interactive dashboards on Tableau Understanding of Healthcare Metrics and dimensional modeling is an added advantage and a preferred skill for the Role. Ability to translate Business Requirements in to appropriate visuals is a must have skill. Must be a quick learner and have good acumen for data visualization and designing the reports and dashboards to be performance efficient and also visually appealing.

ements and perform user acceptance testing Communicate, explain, and train users on interpreting the dashboards, especially areas of uncertainty and limitationsExpertise in using in-depth Business Intelligence capabilities, techniques and standards to produce rich context via dashboards and reports Experienced knowledge in data modeling, data warehousing including standard methodologies and impact analysisExperience working with a variety of business owners to convert business requirements to wireframes/dashboards Solid ability to interface and communicate optimally with business representativesMain Skill :Qlikview,SQLOptional Skill :Power BI,Tableau

Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.Design and build technical processes to address business issues.Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics.Recruit, train, develop and supervise analyst-level employees.Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables.Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.

Role: Qlik Sense Developer with Salesforce experience.3 - 7 years of experience working directly with Qlik Sense as a DeveloperPerform data model design and implementation using the Qlik associative data model and Qlik Script Editor2+ Years Experience on Salesforce is mustData experience (data architecture, data modeling, data engineering).Building out Dashboard extension within Qlik Sense3+ years experience with writing and debugging SQL queriesData experience (data architecture, data modeling, data engineering).Have a working understanding of visual analytics best practices, development processes, and knowledge of typical BI & analytics tools and technologies (Tableau, Power BI, ThoughtSpot, etc.).Integrate reporting components from multiple data sourcesCreate and deploy Qlik load scripts to load and build the data model and associated QVDsEffective analytical, conceptual, and problem-solving skillsAbility to manage multiple concurrent assignments and meet specified milestonesExperience in optimizing dashboards with focus on usability, performance, flexibility and standardizationExperience in end-to-end implementation of BI projects for developing a portfolio of scorecards, KPIs, reports & dashboardsHave a working understanding of visual analytics best practices, development processes, and knowledge of typical BI & analytics tools and technologies (Tableau, Power BI, ThoughtSpot, etc.).