Responsibilities
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Deliver full-cycle Tableau development projects, from business needs assessment and data discovery, through solution design, to delivery to client.
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Enable our clients and ourselves to answer questions and develop data-driven insights through Tableau.
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Provide technical leadership and support across all aspects of Tableau development and use, from data specification development, through DataMart development, to supporting end-user dashboards and reports.
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Administrate Tableau Server by creating sites, add/remove users, and provide the appropriate level access for users.
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Strategize and ideate the solution design. Develop UI mock-ups, storyboards, flow diagrams, conceptual diagrams, wireframes, visual mockups, and interactive prototypes.
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Develop best practices guidelines for Tableau data processing and visualization. Use these best practices to quickly deliver functionality across the client base and internal users.
Qualifications
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Degree in a highly-relevant analytical or technical field, such as statistics, data science, or business analytics.
· 5+ years as a Tableau developer and administrator.
· Extensive experience with large data sets, statistical analyses, and visualization as well as hands-on experience on tools (SQL, Tableau, Power BI).
· Ability to quickly learn and take responsibility to deliver.
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About The Company
The client is 17-year-old Multinational Company headquartered in Bangalore, Whitefield, and having another delivery center in Pune, Hinjewadi. It also has offices in US and Germany and are working with several OEM’s and Product Companies in about 12 countries and is a 200+ strong team worldwide.
The Role
Power BI front-end developer in the Data Domain (Manufacturing, Sales & Marketing, Purchasing, Logistics, …).Responsible for the Power BI front-end design, development, and delivery of highly visible data-driven applications in the Compressor Technique. You always take a quality-first approach where you ensure the data is visualized in a clear, accurate, and user-friendly manner. You always ensure standards and best practices are followed and ensure documentation is created and maintained. Where needed, you take initiative and make
recommendations to drive improvements. In this role you will also be involved in the tracking, monitoring and performance analysis
of production issues and the implementation of bugfixes and enhancements.
Skills & Experience
• The ideal candidate has a degree in Computer Science, Information Technology or equal through experience.
• Strong knowledge on BI development principles, time intelligence, functions, dimensional modeling and data visualization is required.
• Advanced knowledge and 5-10 years experience with professional BI development & data visualization is preferred.
• You are familiar with data warehouse concepts.
• Knowledge on MS Azure (data lake, databricks, SQL) is considered as a plus.
• Experience and knowledge on scripting languages such as PowerShell and Python to setup and automate Power BI platform related activities is an asset.
• Good knowledge (oral and written) of English is required.
What you will do:
- Understand the process of CaaStle business teams, KPIs, and pain points
- Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
- Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
- Leverage advanced analytics to drive key success metrics for business and revenue generation
- Operationalize, implement, and automate changes to drive data-driven decisions
- Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis
We would love for you to have:
- Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
- Experience: 2-4 years of professional experience
- Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
- Experience in A/B testing and measure performance of experiments
- Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
- Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
- Excellent communication, social, and presentation skills with meticulous attention to detail
- Programming experience in Python, R, or other languages
- Knowledge of Data mining, statistical modeling approaches, and techniques
CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.
- Good experience on Power BI Visualizations, DAX queries in Power BI
- Experience in implementing Row Level Security
- Can understand data models, can implement simple-medium data models
- Quick learner to pick up the Application data design and processe
- Expert in SQL, Analyze current ETL/SSIS process
- Hands on experience in data modeling
- Quick learner to pick up the Application data design and processes
- Data warehouse development and work with SSIS & SSAS (Good to have)
Role:
Data Sourcing and cleaning –
• Includes Data mapping, format standardisation and creation & management of
Master Data files
Iterative modelling –
• Managing multiple data sets and set connections keeping the flexibility and
efficiency in mind
Visualization and output creation
• Provide actionable insight through easy-to-use dashboards based on the guidelines
from the client
Reporting –
• Compiling and reporting on time based on the timelines set for each task
Please apply with updated CV and the following details:
Current Salary (fix and variable)
Expected Salary
Current Employer
Current Location
Notice Period, if an
From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.
No Of Positions: 1
Skills required:
- The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
- Strong problem-solving skills with an emphasis on achieving proof-of-concept
- Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
- Knowledge of machine learning and deep learning fundamentals
- Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
- Experience writing and debugging code in an IDE
- Experience using managed web services (e.g., AWS, GCP, etc.)
- Strong analytical and communication skills
- Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
- Ability to learn new tools from documentation and internet resources.
Roles and responsibilities :
- You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
- Collaborate with client-facing teams to design and build operational AI solutions for client engagements.
- Identify relevant data sources for data wrangling and EDA
- Identify model architectures to use for client business needs.
- Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
- Present findings to teammates and key stakeholders in a clear and repeatable manner.
Experience :
2 - 14 Yrs
Responsibilities:
- Design and develop strong analytics system and predictive models
- Managing a team of data scientists, machine learning engineers, and big data specialists
- Identify valuable data sources and automate data collection processes
- Undertake pre-processing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a seasoned Data Scientist
- Good Experience in data mining processes
- Understanding of machine learning and Knowledge of operations research is a value addition
- Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
- Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
- Strong math skills (e. g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- Experience in Natural Language Processing (NLP)
- Strong competitive coding skills
- BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred
- 6+ years of recent hands-on Java development
- Developing data pipelines in AWS or Google Cloud
- Java, Python, JavaScript programming languages
- Great understanding of designing for performance, scalability, and reliability of data intensive application
- Hadoop MapReduce, Spark, Pig. Understanding of database fundamentals and advanced SQL knowledge.
- In-depth understanding of object oriented programming concepts and design patterns
- Ability to communicate clearly to technical and non-technical audiences, verbally and in writing
- Understanding of full software development life cycle, agile development and continuous integration
- Experience in Agile methodologies including Scrum and Kanban
• Proficient in PowerBI
• Bonus for proficient coding skills in R / Python. Master-level skills in SQL and query languages
• 2+ years of experience working with visualization tools such as PowerBI Tableau, Qlik etc.
• Excellent written and verbal communication skills
• Ability to proficiently come up to business requirements/model and gain good understanding of business metrics
• Excellent organizational, presentation, analytical, written and verbal communication
• Understand efficient coding standards and has a knack to plan for QC checks
• Added advantage if you understand Cloud hosting, customizing visualization tools using DAX,data integration with analytical data-streams
Desired Skills and Experience:
• Be a consultant to our clients. Think out-of-the-box and develop visualization solutions which help clients in solving their business problems
• Tremendous passion towards learning is a must. You must be able to merge the art of consulting and the science of Design in visualization
• Drive and energy to work hard and achieve success in an entrepreneurial environment
• Should have hands-on experience in delivering projects across multiple industries and analytics
- 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
Should have Business Intelligence Experience in a data warehouse environment
Should have good experience in writing Power Query, DAX, MDX for complex data projects
Good on Rest Services including the API documentation.
Should have Experience authoring, diagnosing, and altering SQL Server objects and T-SQL
queries
Should have worked on Tabular models in Azure Analysis Services or SSAS
Should have Experience in Microsoft Azure Platform