DataToBiz Pvt. Ltd.
https://datatobiz.comFounded :
2017
Type :
Services
Size :
20-100
Stage :
Bootstrapped
About
With vision comes the insight and with insight comes the faith. We deliver the precise information/insights for your eye to visualize the facts and take the required decision with faith when it comes to making a business move. Everything now is based on assurity, the assurity that one gets from the information that is driven via collected raw data. We at DataToBiz help frame and explore that raw data to bring forth the facts behind it. These facts can help you fuel your business to rise above all others.
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Jobs at DataToBiz Pvt. Ltd.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Pune
8 - 12 yrs
₹15L - ₹18L / yr
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
+6 more
We are seeking a highly skilled and experienced Power BI Lead / Architect to join our growing team. The ideal candidate will have a strong understanding of data warehousing, data modeling, and business intelligence best practices. This role will be responsible for leading the design, development, and implementation of complex Power BI solutions that provide actionable insights to key stakeholders across the organization.
Location - Pune (Hybrid 3 days)
Responsibilities:
Lead the design, development, and implementation of complex Power BI dashboards, reports, and visualizations.
Develop and maintain data models (star schema, snowflake schema) for optimal data analysis and reporting.
Perform data analysis, data cleansing, and data transformation using SQL and other ETL tools.
Collaborate with business stakeholders to understand their data needs and translate them into effective and insightful reports.
Develop and maintain data pipelines and ETL processes to ensure data accuracy and consistency.
Troubleshoot and resolve technical issues related to Power BI dashboards and reports.
Provide technical guidance and mentorship to junior team members.
Stay abreast of the latest trends and technologies in the Power BI ecosystem.
Ensure data security, governance, and compliance with industry best practices.
Contribute to the development and improvement of the organization's data and analytics strategy.
May lead and mentor a team of junior Power BI developers.
Qualifications:
8-12 years of experience in Business Intelligence and Data Analytics.
Proven expertise in Power BI development, including DAX, advanced data modeling techniques.
Strong SQL skills, including writing complex queries, stored procedures, and views.
Experience with ETL/ELT processes and tools.
Experience with data warehousing concepts and methodologies.
Excellent analytical, problem-solving, and communication skills.
Strong teamwork and collaboration skills.
Ability to work independently and proactively.
Bachelor's degree in Computer Science, Information Systems, or a related field preferred.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Remote only
3 - 4 yrs
₹4L - ₹8L / yr
Tableau
Spotfire
Qlikview
PowerBI
Data Visualization
+4 more
- Develop & Maintain Dashboards: Create interactive and visually compelling dashboards and reports in Tableau, ensuring they meet business requirements and provide actionable insights.
- Data Analysis & Visualization: Design data models and build visualizations to summarize large sets of data, ensuring accuracy, consistency, and clarity in the reports.
- SQL Querying: Write complex SQL queries to extract and transform data from different data sources (databases, APIs, etc.), ensuring optimal performance.
- Data Cleansing: Clean, validate, and prepare data for analysis, ensuring data integrity and consistency.
- Collaboration: Work closely with cross-functional teams, including business analysts, data engineers, and stakeholders, to gather requirements and deliver customized reporting solutions.
- Troubleshooting & Support: Provide technical support and troubleshooting for Tableau reports, dashboards, and data integration issues.
- Performance Optimization: Optimize Tableau workbooks, dashboards, and queries for better performance and scalability.
- Best Practices: Ensure Tableau development follows best practices for data visualization, performance optimization, and user experience.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Remote only
0 - 1 yrs
₹10 - ₹14 / mo
Web Analytics
Digital Marketing
Google AnalyticsSearch Engine Optimization (SEO)
Website Performance Monitoring & Optimization:
- Monitor website load speed and ensure optimal user experience across devices.
- Identify performance gaps, suggest improvements, and track progress.
- Conduct website audits focusing on technical SEO, usability, and site speed.
Visual Analytics & User Behavior Analysis:
- Track visual analytics (heatmaps, session recordings) to identify issues.
- Report on user behavior patterns and suggest actionable improvements.
- Identify and report website issues such as broken links, slow-loading pages, or improper visual elements.
Collaboration & Reporting:
- Work with the marketing and development teams to align website goals with business objectives.
- Provide regular performance reports, highlighting issues, insights, and recommendations for improvements.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Chandigarh, NCR (Delhi | Gurgaon | Noida)
2 - 6 yrs
₹7L - ₹15L / yr
Datawarehousing
Amazon Redshift
Analytics
Python
Amazon Web Services (AWS) +2 more
Job Responsibilities : Â
As a Data Warehouse Engineer in our team, you should have a proven ability to deliver high-quality work on time and with minimal supervision.
Develops or modifies procedures to solve complex database design problems, including performance, scalability, security and integration issues for various clients (on-site and off-site).
Design, develop, test, and support the data warehouse solution.
Adapt best practices and industry standards, ensuring top quality deliverable''s and playing an integral role in cross-functional system integration.
Design and implement formal data warehouse testing strategies and plans including unit testing, functional testing, integration testing, performance testing, and validation testing.
Evaluate all existing hardware's and software's according to required standards and ability to configure the hardware clusters as per the scale of data.
Data integration using enterprise development tool-sets (e.g. ETL, MDM, Quality, CDC, Data Masking, Quality).
Maintain and develop all logical and physical data models for enterprise data warehouse (EDW).
Contributes to the long-term vision of the enterprise data warehouse (EDW) by delivering Agile solutions.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems. Â
Participate in data warehouse health monitoring and performance optimizations as well as quality documentation.
Job Requirements : Â
2+ years experience working in software development & data warehouse development for enterprise analytics.
2+ years of working with Python with major experience in Red-shift as a must and exposure to other warehousing tools.
Deep expertise in data warehousing, dimensional modeling and the ability to bring best practices with regard to data management, ETL, API integrations, and data governance.
Experience working with data retrieval and manipulation tools for various data sources like Relational (MySQL, PostgreSQL, Oracle), Cloud-based storage.
Experience with analytic and reporting tools (Tableau, Power BI, SSRS, SSAS). Experience in AWS cloud stack (S3, Glue, Red-shift, Lake Formation).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business clients.
Knowledge of Logistics and/or Transportation Domain is a plus.
Ability to handle/ingest very huge data sets (both real-time data and batched data) in an efficient manner.
As a Data Warehouse Engineer in our team, you should have a proven ability to deliver high-quality work on time and with minimal supervision.
Develops or modifies procedures to solve complex database design problems, including performance, scalability, security and integration issues for various clients (on-site and off-site).
Design, develop, test, and support the data warehouse solution.
Adapt best practices and industry standards, ensuring top quality deliverable''s and playing an integral role in cross-functional system integration.
Design and implement formal data warehouse testing strategies and plans including unit testing, functional testing, integration testing, performance testing, and validation testing.
Evaluate all existing hardware's and software's according to required standards and ability to configure the hardware clusters as per the scale of data.
Data integration using enterprise development tool-sets (e.g. ETL, MDM, Quality, CDC, Data Masking, Quality).
Maintain and develop all logical and physical data models for enterprise data warehouse (EDW).
Contributes to the long-term vision of the enterprise data warehouse (EDW) by delivering Agile solutions.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems. Â
Participate in data warehouse health monitoring and performance optimizations as well as quality documentation.
Job Requirements : Â
2+ years experience working in software development & data warehouse development for enterprise analytics.
2+ years of working with Python with major experience in Red-shift as a must and exposure to other warehousing tools.
Deep expertise in data warehousing, dimensional modeling and the ability to bring best practices with regard to data management, ETL, API integrations, and data governance.
Experience working with data retrieval and manipulation tools for various data sources like Relational (MySQL, PostgreSQL, Oracle), Cloud-based storage.
Experience with analytic and reporting tools (Tableau, Power BI, SSRS, SSAS). Experience in AWS cloud stack (S3, Glue, Red-shift, Lake Formation).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business clients.
Knowledge of Logistics and/or Transportation Domain is a plus.
Ability to handle/ingest very huge data sets (both real-time data and batched data) in an efficient manner.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Chandigarh, NCR (Delhi | Gurgaon | Noida)
2 - 6 yrs
₹7L - ₹15L / yr
ETL
Amazon Web Services (AWS)Amazon Redshift
PythonJob Responsibilities : - Developing new data pipelines and ETL jobs for processing millions of records and it should be scalable with growth.
Pipelines should be optimised to handle both real time data, batch update data and historical data.
Establish scalable, efficient, automated processes for complex, large scale data analysis.
Write high quality code to gather and manage large data sets (both real time and batch data) from multiple sources, perform ETL and store it in a data warehouse.
Manipulate and analyse complex, high-volume, high-dimensional data from varying sources using a variety of tools and data analysis techniques.
Participate in data pipelines health monitoring and performance optimisations as well as quality documentation.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.
Job Requirements :-
2+ years experience working in software development & data pipeline development for enterprise analytics.
2+ years of working with Python with exposure to various warehousing tools
In-depth working with any of commercial tools like AWS Glue, Ta-lend, Informatica, Data-stage, etc.
Experience with various relational databases like MySQL, MSSql, Oracle etc. is a must.
Experience with analytics and reporting tools (Tableau, Power BI, SSRS, SSAS).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business client.
Knowledge of Logistics and/or Transportation Domain is a plus.
Hands-on with traditional databases and ERP systems like Sybase and People-soft.
Pipelines should be optimised to handle both real time data, batch update data and historical data.
Establish scalable, efficient, automated processes for complex, large scale data analysis.
Write high quality code to gather and manage large data sets (both real time and batch data) from multiple sources, perform ETL and store it in a data warehouse.
Manipulate and analyse complex, high-volume, high-dimensional data from varying sources using a variety of tools and data analysis techniques.
Participate in data pipelines health monitoring and performance optimisations as well as quality documentation.
Interact with end users/clients and translate business language into technical requirements.
Acts independently to expose and resolve problems.
Job Requirements :-
2+ years experience working in software development & data pipeline development for enterprise analytics.
2+ years of working with Python with exposure to various warehousing tools
In-depth working with any of commercial tools like AWS Glue, Ta-lend, Informatica, Data-stage, etc.
Experience with various relational databases like MySQL, MSSql, Oracle etc. is a must.
Experience with analytics and reporting tools (Tableau, Power BI, SSRS, SSAS).
Experience in various DevOps practices helping the client to deploy and scale the systems as per requirement.
Strong verbal and written communication skills with other developers and business client.
Knowledge of Logistics and/or Transportation Domain is a plus.
Hands-on with traditional databases and ERP systems like Sybase and People-soft.
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The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Chandigarh
2 - 5 yrs
₹4L - ₹6L / yr
Algorithms
ETL
Python
Machine Learning (ML)
Deep Learning +3 more
Job Summary
DataToBiz is an AI and Data Analytics Services startup. We are a team of young and dynamic professionals looking for an exceptional data scientist to join our team in Chandigarh. We are trying to solve some very exciting business challenges by applying cutting-edge Machine Learning and Deep Learning Technology.
Being a consulting and services startup we are looking for quick learners who can work in a cross-functional team of Consultants, SMEs from various domains, UX architects, and Application development experts, to deliver compelling solutions through the application of Data Science and Machine Learning. The desired candidate will have a passion for finding patterns in large datasets, an ability to quickly understand the underlying domain and expertise to apply Machine Learning tools and techniques to create insights from the data.
Responsibilities and Duties
As a Data Scientist on our team, you will be responsible for solving complex big-data problems for various clients (on-site and off-site) using data mining, statistical analysis, machine learning, deep learning.
One of the primary responsibilities will be to understand the business need and translate it into an actionable analytical plan in consultation with the team.
Ensure that the analytical plan aligns with the customer’s overall strategic need.
Understand and identify appropriate data sources required for solving the business problem at hand.
Explore, diagnose and resolve any data discrepancies – including but not limited to any ETL that may be required, missing value and extreme value/outlier treatment using appropriate methods.
Execute project plan to meet requirements and timelines.
Identify success metrics and monitor them to ensure high-quality output for the client.
Deliver production-ready models that can be deployed in the production system.
Create relevant output documents, as required – power point deck/ excel files, data frames etc.
Overall project management - Creating a project plan and timelines for the project and obtain sign-off.
Monitor project progress in conjunction with the project plan – report risks, scope creep etc. in a timely manner.
Identify and evangelize new and upcoming analytical trends in the market within the organization.
Implementing the applications of these algorithms/methods/techniques in R/Python
Required Experience, Skills and Qualifications
3+ years experience working Data Mining and Statistical Modeling for predictive and prescriptive enterprise analytics.
2+ years of working with Python, Machine learning with exposure to one or more ML/DL frameworks like Tensorflow, Caffe, Scikit-Learn, MXNet, CNTK.
Exposure to ML techniques and algorithms to work with different data formats including Structured Data, Unstructured Data, and Natural Language.
Experience working with data retrieval and manipulation tools for various data sources like: Rest/Soap APIs, Relational (MySQL) and No-SQL Databases (MongoDB), IOT data streams, Cloud-based storage, and HDFS.
Strong foundation in Algorithms and Data Science theory.
Strong verbal and written communication skills with other developers and business client
Knowledge of Telecom and/or FinTech Domain is a plus.
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