7 Bi Developer Jobs

Hi All, Greetings of the day! Currently we are having opening for the position of BI Developer with product base fintech organization. Location - Mumbai (Hybrid Mode) Experience - 5 to 7 years Direct Responsibilities Candidate should have excellent working knowledge of SSIS and SSRS Candidate should have excellent working knowledge of SQL / PL-SQL Oracle and MS SQL DB Analysis, Development and Deployment main responsibilities Analyze requirements in coordination with Business Analyst team located in Paris, France Candidate good to have python knowledge. Candidate should be familiar with working with Git/Bitbucket. The candidate should have worked on a full life-cycle project. Provide estimates for Development workloads Design and implement the requirements Produce standard technical documentations Take part to the Production support activities (Level 2) Excellent Troubleshooting capabilities and good turnaround time. Participation and BA support during the integration and UAT phases Contributing Responsibilities Contribute towards innovation, knowledge sharing initiatives and upskilling of other team members Interested candidates kindly share your updated resume at dipti.ghavri@kiya.ai

Responsibilities Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making. Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Masters or Ph.D. degree is strongly preferred. 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. Expert proficiency in SQL for data extraction, manipulation, and analysis. Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Excellent leadership, strategic thinking, and stakeholder management abilities. Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn. Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. Experience in leading and managing cross-functional teams.

Responsibilities Assist in the development and implementation of data analytics strategies, frameworks, and methodologies aligned with organizational goals and objectives. Drive the identification and exploration of data-driven opportunities to optimize business performance, improve operational efficiency, and achieve strategic objectives. Collaborate with senior leaders and stakeholders to define analytical requirements, establish key performance indicators (KPIs), and develop metrics to measure business performance and progress. Design and implement advanced analytical models and algorithms to extract insights, uncover patterns, and make predictions using large and complex data sets. Provide thought leadership and technical expertise in data analysis, statistical modelling, and machine learning techniques to address complex business problems and support strategic decision-making. Develop and maintain data governance frameworks, data quality standards, and data management practices to ensure accuracy, integrity, and consistency of data assets. Lead cross-functional teams in the design and delivery of data visualizations, dashboards, and reports that effectively communicate insights and drive action. Stay up-to-date with emerging trends, technologies, and best practices in data analytics, and provide recommendations for their adoption to enhance analytical capabilities. Mentor and coach junior analysts, fostering their professional growth and supporting their development of advanced analytical skills. Collaborate with data engineering teams to ensure efficient data collection, integration, and preparation for analysis purposes. Present complex findings, insights, and recommendations to senior leaders and stakeholders in a clear, concise, and compelling manner. Foster a data-driven culture within the organization by promoting the value of data, advocating for data-driven decision-making, and driving data literacy initiatives. Bachelors degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science. A Masters or Ph.D. degree is strongly preferred. 10+ years of extensive experience as a Data Analyst, with a significant portion of experience in a senior or lead role. Proven track record of designing and implementing data analytics strategies and driving successful data-driven initiatives. Expert proficiency in SQL for data extraction, manipulation, and analysis. Advanced programming skills in Python/R for statistical analysis, predictive modelling, and machine learning. In-depth knowledge of statistical analysis techniques, predictive modelling, and advanced machine learning algorithms. Strong experience with data visualization tools such as Tableau, Power BI, or similar. Extensive experience with data blending, preprocessing, and automation tools within PowerBi or similar. Solid understanding of database structures, data warehousing concepts, and data governance principles. Exceptional analytical and problem-solving skills, with the ability to tackle complex business challenges and provide innovative solutions. Excellent leadership, strategic thinking, and stakeholder management abilities. Exceptional communication and presentation skills, with the ability to influence and inspire stakeholders at all levels of the organization. Proven ability to work independently, manage multiple projects, and prioritize effectively. Preferred Qualifications Experience in implementing data analytics solutions in cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of big data technologies such as Hadoop, Spark, or similar. Familiarity with data science platforms and libraries (e.g., TensorFlow, PyTorch, scikit learn. Strong business acumen and the ability to align data analysis efforts with organizational goals and strategies. Experience in leading and managing cross-functional teams.

Devevop, publish, and schedule Power BI reports, dashboards, and visuals Transform raw data into meaningful analytics through Power Query, DAX, and Power Pivot Work closely with stakeholders to understand business requirements Required Candidate profile Strong ex with Power BI Desktop, Power BI Service, DAX, Power Query Experience in data modeling, report optimization, and visualization best practices Strong SQL skills for data extraction Perks and benefits Perks and Benefits

Creating Passion: Your Responsibilities Collaborate with cross-functional teams to design and implement robust data solutions and architectures, Implement and optimize Star and Snowflake Schema designs in Data Warehousing for effective data modeling, Develop and optimize complex SQL queries to ensure efficient data retrieval and processing, Implement stored procedures within SQL Server for enhanced performance, Administer, configure, and maintain Microsoft SQL Server databases, Design, create, and manage Views to simplify data access and enhance data security, Design, implement, and optimize Tabular Models in SQL Server Analysis Services (SSAS) for effective business intelligence, Develop interactive dashboards and reports using Power BI, focusing on user-friendly and insightful data representation, Utilize Data Analysis Expressions (DAX) for custom calculations and measures, Contributing your strengths: your qualifications Qualification And Education Requirements Bachelor's degree in Computer Science, Information Technology, or a related field, Experience This role requires a strong understanding of business intelligence, data integration, and data analysis, 5-9 years of experience in Business Intelligence development within a Microsoft environment, Experience within a manufacturing company and within an international enterprise context, Preferred Skills / Special Skills Strong problem-solving and analytical skills, Excellent communication and collaboration abilities, Proven ability to work independently and as part of a globally distributed team, Proven skills in Microsoft BI technologies including: SQL Server, SSAS, DAX, PowerBI, Familiarity with cloud-based BI solutions useful, but not necessary, Knowledge of data visualization best practices, Have we awoken your interestThen we look forward to receiving your online application If you have any questions, please contact Sonali Samal, One Passion Many Opportunities, The company Liebherr CMCtec India Private Limited in Pune (India) was established in 2008 and started its manufacturing plant in its own facility on Pune Solapur Highway in 2012 The company is responsible for the production of tower cranes and drives, Location Liebherr CMCtec India Private Limited Sai Radhe, 6th Floor, Behind Hotel Sheraton Grand, Raja Bahadur Mill Road, Pune, 411001 411001 Pune India (IN) Contact Sonali Samal sonali samal@liebherr,com

Job Title: ======= Senior MS BI Developer Onsite Location: ============= Dubai, UAE Doha , Qatar Riyadh, Saudi Onsite Monthly Salary: ============== 10k AED - 15k AED - Full tax free salary , Depending on Experience Gulf work permit will be sponsored by our client Project duration: ============= 2 Years, Extendable Desired Experience Level Needed: =========================== 5 - 10 Years Qualification: ========== B.Tech / M.Tech / MCA / M.Sc or equivalent Experience Needed: =============== Over all: 5 or more Years of total IT experience Solid 3+ Years experience or MS - BI Developer with Microsoft Stack / MS - DWH Engineer Job Responsibilities: ================ - Design and develop DWH data flows - Able to build SCD -1 / SCD - 2 / SCD -3 dimensions - Build Cubes - Maintain SSAS / DWH data - Design Microsoft DWH & its ETL packages - Able to code T-SQL - Able to create Orchestrations - Able to design batch jobs / Orchestrations runs - Familiarity with data models - Able to develop MDM (Master Data Management) Experience: ================ - Experience as DWH developer with Microsoft DWH data flows and cubes - Exposure and experience with Azure services including Azure Data Factory - Sound knowledge of BI practices and visualization tools such as PowerBI / SSRS/ QlikView - Collecting / gathering data from various multiple source systems - Creating automated data pipelines - Configuring Azure resources and services Skills: ================ - Microsoft SSIS / SSAS / SSRS - Informatica - Azure Data Factory - Spark - SQL Nice to have: ========== - Any on site experience is added advantage, but not mandatory - Microsoft certifications are added advantage Business Vertical: ============== - Banking / Investment Banking - Capital Markets - Securities / Stock Market Trading - Bonds / Forex Trading - Credit Risk - Payments Cards Industry (VISA/ Master Card/ Amex) Job Code: ====== MSBI_DEVP_0525 No.of positions: ============ 05 Email: ===== spectrumconsulting1977@gmail.com if you are interested, please email your CV as ATTACHMENT with job ref. code [ MSBI_DEVP_0525 ] as subject

ROLE SUMMARY Reporting to the Head of Architecture & Engineering APAC, your role as a BI Analyst is responsible for leveraging business intelligence platforms to generate insights, reports, analytics and dashboards. By collaborating with stakeholders within Client ecosystem, you will work to translate business needs into data-driven solutions that support informed decision-making. You will leverage your business acumen and act as a liaison between the technology team and various business units and stakeholders to understand their requirements, key objectives and strategic goals and translate into technical BI solutions; Develop and maintain data-driven reports and visualizations utilising your expertise with PowerBI/Tableau/Sigma. PRIMARY ROLE Collaborating with departments to understand reporting needs and recommend best practices. Analyze large data sets, develop interactive dashboards, and present insights to stakeholders. Carry out data ingestion, star schema data modelling, and visualization to create impactful reports. Develop comprehensive BI dashboards following best practices. Improve and optimize existing Power BI solutions to enhance performance and usability. Leverage SQL skills for advanced data querying and analysis. Conduct data profiling, cleansing, and validation activities to ensure data quality. KEY WORKING RELATIONSHIPS External: Development & Integration partners Technology and Cyber Security partners Cloud and application vendors Client Portfolio Companies Internal: CTO APAC Heads of Architecture & Engineering, Workplace and Service Delivery DevOps engineers Internal business stakeholders WHAT YOU BRING TO THE ROLE Required: 3-5 years experience in a Data engineering and Report development roles. Demonstrable experience in Data Extraction, Manipulation and Visualization. Strong Data Mapping skills, including Source to Target. Strong Power BI and report development skills and experience. Experience with Snowflake and/or Data Bricks. Proven experience partnering with business stakeholders, conceptualizing business objectives and processes, documenting and translating business requirements into technical specifications. Skilled in producing Data flows and models. Exceptional communication and stakeholder engagement skills. Attention to detail and ability to analyses data from diverse application sources and write efficient, effective SQL to handle complex scenarios, providing required outputs under time pressures. Strong ETL development experience, drawing data from disparate systems. Preferred: A degree in Computer science, Mathematics or Statistics. Experience and competency with Sigma or Tableau would also be beneficial. Experience in using cloud technologies such as Azure. Experience with developing Data Governance and Classification framework. Exposure to Machine Learning, AI and Big data.