Digital Delivery and Innovation Lead

Data Modeler

AI Lead

Data Engineer

Technical Product Owner

Customer Experience Manager

Tech Lead Power BI

Branch Sales Manager-Rest of Maharashtra and MP

Data Engineer Lead - Python and PySpark

Responsibilities: <ul><li>Lead the development and execution of digital strategies that enhance business processes, improve customer experience, and drive growth</li><li>Oversee the delivery of digital projects, ensuring they are completed on time, within budget, and meet quality standards.</li><li>Foster a culture of innovation within the organization by identifying emerging technologies, trends, and best practices that can be leveraged to create new business opportunities.</li><li>Collaborate with key stakeholders, including senior leadership, IT, marketing, and operations teams, to ensure alignment and support for digital initiatives.</li><li>Manage and mentor a team of digital professionals, ensuring they have the skills and resources needed to succeed in their roles.</li><li>Identify and mitigate risks associated with digital projects, ensuring compliance with regulatory requirements and industry standards.</li><li>Monitor and report on the performance of digital initiatives, using data and analytics to drive continuous improvement.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Information Technology, Business Administration, or a related field.</li><li>Proven experience in digital transformation, project management, and innovation leadership.</li><li>Strong understanding of digital technologies, including cloud computing, AI, IoT, and data analytics.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to lead cross-functional teams and manage multiple projects simultaneously.</li></ul>

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Design and implement scalable data pipelines and data warehouse solutions using Informatica PowerCenter.</li><li>Develop ETL processes to ingest data from various sources into the data warehouse.</li><li>Optimize and tune SQL queries for performance improvements.</li><li>Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver solutions.</li><li>Ability to understand and integrate data sources based on different technologies like Streaming Data, Change Data Capture, APIs , Message Queues, Semi-structured(JSON,XML) and unstructured data.</li><li>Analyze raw data to determine optimal solutions for data processing and ingestions</li><li>Implement data quality and validation processes to ensure high data integrity and reliability.</li><li>Monitor and troubleshoot data pipeline issues and implement solutions in a timely manner.</li><li>Document technical designs, data mappings, and configuration management processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>3-4 years of hands-on experience in data engineering roles.</li><li>Proficiency in Informatica Informatica IICS (ECDI, CDI CAI, Mass Ingestion etc) for designing and developing ETL workflows.</li><li>Strong SQL programming skills with experience in optimizing queries and database performance.</li><li>Experience working with large-scale data warehousing and data modeling concepts.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.</li><li>Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>Strong communication skills and ability to collaborate effectively across teams.</li></ul>

The Role:Our Product team is seeking a Technical Product Owner with a passion for innovation and a dedication to delivering high-quality, differentiated data solutions within our clients integrated risk platform. At the core of our client's mission is the commitment to building a productive, safe, and sustainable world through innovative products and services. By seamlessly integrating domain expertise, data, and design, we tackle our customers' most pressing challenges, delivering solutions that make a difference every day.Are you driven to address complex analytics challenges in risk and compliance? Are you eager to collaborate with leading domain experts to overcome the data obstacles our customers encounter as they strive to decarbonize their operations? Are you passionate about developing actionable insights that enhance workplace safety?Responsibilities:You will collaborate closely with the Product Manager to lead the strategic development of the data platform roadmap, ensuring it is fully aligned with the company's overarching objectives.Cultivate strong partnerships with stakeholders across multidisciplinary engineering teams and departments, gathering critical requirements and designing innovative solutions.Utilize your deep expertise in data engineering to align technical capabilities seamlessly with business objectives.Take full ownership of the backlog for the data platform, prioritizing and managing it to ensure that all deliverables are strategically aligned and executed effectively.Develop detailed user stories and facilitate backlog refinement sessions to guarantee clear communication and alignment within the team.Maintain a strong grasp of emerging technology trends and developments, offering informed recommendations to elevate the platform's technical capabilities.Champion an agile mindset that extends beyond traditional frameworks, fostering an environment where engineering and product teams are empowered and operate autonomously.Leverage your experience within technical organizations to make strategic decisions regarding build-versus-buy scenarios.Contribute to the maintenance of comprehensive product and technical documentation, ensuring clarity and accessibility for both internal and external stakeholders.Requirements:University degree in Computer Science, Mathematics, Physics, or a related area Deep interest in Product Management, ideally with at least 2+ year experience working as a Technical Product Manager and/or Product Owner. Data engineering background with at least 3+ years working as a Software Engineer and/or Data EngineerExcellent communication skills, with the ability to understand stakeholder requirements clearly and translate this to the technical teams. Ideally, experience working with Azure Services and big data frameworks/tools.Solid understanding of how to build a modern and scalable big data systems.Has user-centric design mindset.Is comfortable working in an agile environment.Strong interpersonal and communication skills.Adaptable to an ever-changing development environment.Strong work ethic & high degree of integrity.

Responsibilities: <ul><li>Responsible for setting the strategy and operating a world class Command Center for our customers experience across all digital channels.</li><li>Manage a team of initially 4 operations specialists.\</li><li>Developing and implementing strategies to improve customer interactions across multiple touchpoints and channels</li><li>Analyzing customer feedback, surveys, and data to identify customer pain points and different ways to improve the customer journey and create a positive experience</li><li>Collaborating with cross-functional teams, such as marketing, sales, product development, and the customer service team, to align customer experience efforts with business goals and objectives</li><li>Designing and implementing customer service standards and guidelines to ensure consistent and exceptional service delivery for building customer relations</li><li>Training and educating staff on customer-centric approaches and best practices to foster a customer-focused culture throughout the organization</li><li>Monitoring and measuring key performance indicators (KPIs) related to customer satisfaction, retention, and loyalty, providing regular reports and insights to senior management and stakeholders</li></ul> Requirements: <ul><li>Experience in working for large organizations and handling complex projects</li><li>For measuring the performance and satisfaction of our customers and users, using various tools and methods such as surveys, feedback, analytics, and social media and configure the experience tracking toolset</li><li>A minimum of a Bachelor’s degree in business administration, marketing, business management, communications, or a related field is beneficial but not required (a Master’s degree is preferred)</li><li>Certifications in customer experience management, such as Certified Customer Experience Professional (CCXP), are advantageous to show a commitment to the field and continuous learning</li></ul>

Job Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Role Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Role Summary:Development and implementation of channel strategies for the assigned states to generate revenue through primary and secondary sales of company's Brand and grow the contribution.Responsibilities:Sales Strategy and Planning:Execute the sales strategy for the area in alignment with the business plan and in consultation with the Branch Head.Increase sales revenue through implementation of appropriate Go To Market strategiesUnderstand and analyze the market trends, potential and competition information to leverage and explore sources of business growth and profitability.Sales Operations:Drive the team in the area effectively to realize sales targetsEnsure overall and efficient administration in the areaEnsure execution of customized BTL activities through the teamDrive operational efficiencies by closely working with other concerned stakeholdersDistribution Management:Drive Distribution Infrastructure [Appointment, Review, Planning and Management]Consolidate and analyze distributors’ feedback to drive corrective actionsSupport the team in ensuring product/ range availability to all the retail points of sales & manage stock at the distributor level and address any concerns from the team.Reporting and process management:Analyze sales reports and drive weekly sales planDrive data insights led corrective actions in the areasDrive implementation of sales systems and processes in the areasPeople management:Coach team members to deliver on their sales performance and looking towards future growthEnsure a well-trained sales team to deliver superior sales performanceReporting Relationships :Reports To: Branch HeadSupervises : Area Sales Managers/ Senior Sales ManagersRequirements:﻿10-15 years + ExperienceExperience in Inner wear or Apparel or FMCG IndustryExperience handling Rest of Maharashtra and MP

Responsibilities:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

Skills

Industry

Location

Jobtitle

134 modeling and analyzing Jobs found

Digital Delivery and Innovation Lead

Data Modeler

AI Lead

Data Engineer

Technical Product Owner

Customer Experience Manager

Tech Lead Power BI

Tech Lead Power BI

Branch Sales Manager-Rest of Maharashtra and MP

Data Engineer Lead - Python and PySpark

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

Skills

Industry

Location

Jobtitle

134 modeling and analyzing Jobs found

Digital Delivery and Innovation Lead

Data Modeler

AI Lead

Data Engineer

Technical Product Owner

Customer Experience Manager

Tech Lead Power BI

Tech Lead Power BI

Branch Sales Manager-Rest of Maharashtra and MP

Data Engineer Lead - Python and PySpark

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

JOBS BY FUNCTION

JOBS BY INDUSTRY

JOBS BY LOCATIONS

MODEL JOBS

JOBS BY CITY

WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.