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LTIMindtree

<div>
 
 Role : Python Developer
 
 
 Experience - 5 years to 8 years
 
 
 Location - Hyderabad only
 
 
 
 
 
 Strong Python and SQL knowledge
 
 
 5 years hands on experience as a data engineer data software architect or advanced BI analyst
 
 
 Strong work ethic collaboration and communication skills
 
 
 4 Years of experience with written and verbal communication with stakeholders in past roles
 
 
 Some familiarity with cloud architecture
 
 
 2 years of experience within AWS Azure or Google cloud environments
 
 
 Nice to Have Skills Preferred Requirements
 
</div>

Python Developer

Dun & Bradstreet

<div>
 
 Why We Work at Dun &amp; Bradstreet
 
 
 
 Dun &amp; Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers .
 
 
 
 Director &ndash; Data Engineering (Hyderabad)
 
 
 
 We are seeking a visionary and hands-on Director of Data Engineering to lead our data engineering function from Hyderabad. This leadership role is pivotal in shaping our enterprise data strategy, driving platform innovation, and delivering scalable data solutions. You will be responsible for building and managing high-performing teams, collaborating with cross-functional stakeholders, and ensuring the delivery of robust, secure, and governed data platforms.
 
 
 The ideal candidate will bring deep expertise in data engineering domains such as ingestion, mastering, data mapping, data products, observability, governance, and security, along with a strong grasp of end-to-end platform development including UI, APIs, orchestration, and data processing.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Leadership &amp; Strategy: Define and drive the data engineering vision, strategy, and roadmap aligned with business goals. Lead and mentor a team of data engineers, architects, and analysts across multiple projects. Foster a culture of innovation, accountability, and continuous improvement.
 </li>
 <li>
 Platform Development: Architect and oversee the development of scalable data platforms using modern tech stacks. Ensure seamless integration across UI, APIs, orchestration layers, and data processing pipelines.
 </li>
 <li>
 Data Engineering Excellence: Own and optimize data ingestion, mastering, mapping, and transformation processes. Drive the creation and management of reusable data products and services.
 </li>
 <li>
 Governance &amp; Security: Implement robust data governance frameworks ensuring compliance and data quality. Champion data security best practices across the platform.
 </li>
 <li>
 Operational Excellence: Establish data observability practices for proactive monitoring and issue resolution. Collaborate with DevOps and SRE teams to ensure platform reliability and scalability.
 </li>
 <li>
 Stakeholder Management: Partner with business, product, and technology leaders to align data initiatives with strategic priorities. Communicate effectively with executive leadership, translating technical concepts into business value.
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Experience &amp; Expertise: 12+ years of experience in data engineering, with at least 3&ndash;5 years in leadership roles. Proven track record of building and scaling data platforms in cloud-native environments.
 </li>
 <li>
 Technical Skills: Strong background in Apache Spark, Airflow, Python, FastAPI, and Google Cloud Platform (GCP). Deep understanding of data architecture, data modeling, ETL/ELT pipelines, and orchestration frameworks.
 </li>
 <li>
 Leadership &amp; Communication: Demonstrated ability to lead cross-functional teams and manage senior stakeholders. Excellent communication, presentation, and interpersonal skills.
 </li>
 <li>
 Location-Specific Attributes: Familiarity with the Hyderabad tech ecosystem and ability to attract and retain top talent. Comfortable working in a hybrid or onsite leadership capacity from our Hyderabad office.
 
 
 </li>
 </ul>
 All Dun &amp; Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html and https://jobs.lever.co/dnb . Official communication from Dun &amp; Bradstreet will come from an email address ending in @dnb.com.
 
 
 Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy , which governs the processing of visitor data on this platform.
</div>

Director (R-18372)

McDonald's

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Data Quality Engineering Support: (Manager, Data Operations &amp; Management)
 
 
 
 As the Data Quality Engineering Support Manager, you will be responsible for implementing, scaling, and supporting enterprise-wide data quality frameworks across cloud-native data platforms. You will drive hands-on initiatives to monitor, validate, and reconcile data across ingestion, processing, and consumption layers enabling trusted data for analytics, AI/ML, and operational workflows. This role requires a blend of technical depth, platform expertise (e.g., BigQuery, Redshift, GCP, AWS), and collaboration across engineering, governance, and product teams.
 
 
 
 
 
 
 Who we are looking for:
 
 
 
 
 Primary Responsibilities:
 
 
 
 
 Data Quality Engineering &amp; Monitoring:
 
 
 <ul>
 <li>
 Implement and support automated data quality checks for accuracy, completeness, timeliness, and consistency across datasets.
 </li>
 <li>
 Develop validation frameworks for ingestion pipelines, curated layers, and reporting models in platforms like BigQuery and Redshift.
 </li>
 <li>
 Integrate data quality controls into CI/CD pipelines and orchestration tools (e.g., Airflow, Cloud Composer).
 </li>
 </ul>
 
 
 
 
 
 Data Quality Operations:
 
 
 <ul>
 <li>
 Respond to and resolve data quality incidents and discrepancies across data domains and systems.
 </li>
 <li>
 Collaborate with engineering and product teams to implement root cause analysis and build long-term remediation strategies.
 </li>
 <li>
 Establish SLAs and alerting thresholds for data quality KPIs.
 </li>
 <li>
 Cloud Platform Integration
 </li>
 <li>
 Deploy scalable data quality monitoring solutions across GCP (BigQuery, Cloud Storage) and AWS (Redshift, S3, Glue).
 </li>
 <li>
 Leverage platform-native services and third-party tools for automated profiling, rule enforcement, and anomaly detection.
 </li>
 </ul>
 
 
 
 
 
 Governance Alignment:
 
 
 <ul>
 <li>
 Partner with data governance teams to align quality rules with business glossary terms, reference data, and stewardship models.
 </li>
 <li>
 Integrate quality metadata into governance tools such as Collibra, enabling lineage and audit tracking.
 </li>
 <li>
 Documentation, Enablement &amp; Collaboration
 </li>
 <li>
 Maintain playbooks, documentation, and automated reporting for quality audits and exception handling.
 </li>
 <li>
 Collaborate with data owners, analysts, and data product teams to promote a culture of data trust and shared ownership.
 </li>
 <li>
 Provide training and knowledge-sharing to enable self-service quality monitoring and issue triaging.
 </li>
 </ul>
 
 
 
 
 
 Skill:
 
 
 <ul>
 <li>
 5+ years of experience in data quality engineering, data operations, or data pipeline support, ideally in a cloud-first environment.
 </li>
 </ul>
 
 
 
 
 
 Hands-on expertise in:
 
 
 <ul>
 <li>
 Building and managing data quality checks (e.g., null checks, duplicates, data drift, schema mismatches)
 </li>
 <li>
 SQL and Python for quality validation and automation
 </li>
 <li>
 Working with cloud-native data stacks: BigQuery, Redshift, GCS, S3
 </li>
 <li>
 Data quality monitoring tools or frameworks (e.g., Dataplex, Lightup, Collibra)
 </li>
 <li>
 Strong troubleshooting skills across distributed data systems and pipelines.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Experience:
 
 
 <ul>
 <li>
 Experience in Retail or Quick Service Restaurant (QSR) environments with high-volume data ingestion and reporting requirements.
 </li>
 <li>
 Familiarity with data governance platforms (e.g., Collibra) and integration of quality rules into metadata models.
 </li>
 <li>
 Exposure to AI/ML data pipelines and the impact of data quality on model performance.
 </li>
 <li>
 Current GCP Associates (or Professional) Certification.
 </li>
 </ul>
 
 
 
 
 
 Work location: Hyderabad, India
 
 
 
 
 Work pattern: Full time role.
 
 
 
 
 Work mode: Hybrid.
 
 
 
 
 
 
 
 Additional Information:
 
 
 
 McDonald&rsquo;s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald&rsquo;s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 McDonald&rsquo;s Capability Center India Private Limited (&ldquo;McDonald&rsquo;s in India&rdquo;) is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald&rsquo;s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald&rsquo;s in India does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
 
 
 Nothing in this job posting or description should be construed as an offer or guarantee of employment.
 
</div>

Manager, Data Operations & Management [T500-20082]

<div>
 
 
 About McDonald&rsquo;s:
 
 
 
 One of the world&rsquo;s largest employers with locations in more than 100 countries, McDonald&rsquo;s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
 
 
 
 
 
 
 Position Summary:
 
 
 
 
 Technical Product Analyst &ndash; Cloud ERP
 
 
 
 This opportunity is part of the Global Technology Enterprise Products &amp; Platforms (EPP) Team, focused on Cloud ERP, where our vision is to &ldquo;Always be a... people led, product centric, future focused &amp; trusted technology partner of choice&rdquo;.
 
 
 The Technical Analyst supports the Technical Product Management leadership in technical / IT related delivery topics (e.g., trade-offs in implementation approaches, tech stack selection) and provides technical guidance for developers / squad members. Manages the output (quality and efficiency) of external vendor squads to ensure they are delivering to the standards required by McD. Participate in roadmap and backlog preparation. Builds and maintains technical process flows and solution architecture diagrams on Product level. Leads acceptance criteria creation and validation of development work. Supports hiring and development of engineers. This position reports to the Sr. Technical Product Manager.
 
 
 
 
 
 
 Who we&rsquo;re looking for:
 
 
 
 
 Responsibilities &amp; Accountabilities:
 
 
 <ul>
 <li>
 Product roadmap and backlog preparation
 </li>
 <li>
 In partnership with the TPM, participate in roadmap and backlog prioritization, providing technical perspectives towards translating Epic into user stories for the Develop team to work on, as well as backlog refinement processes.
 </li>
 <li>
 Agile ceremonies
 </li>
 <li>
 Attend all product team ceremonies and act as leader of the Software Development Engineers
 </li>
 <li>
 Technical solutioning and feature development / releases:
 </li>
 <li>
 Works with boundary and integration systems to troubleshoot and mitigate any source/destination issues and requirements.
 </li>
 <li>
 Work and support with Business Users and Product Teams on Incident Management/Request Management/Problem Management /Change Management and Knowledge Management.
 </li>
 <li>
 Analyze Patches and plan patch deployment activities.
 </li>
 <li>
 Working on market requirements, designing solutions, and assessing technical issues and working on resolutions with Team.
 </li>
 <li>
 Collaborate with other technology teams including internal teams, service provider and vendors. Ensure application service levels are maintained as per agreed standards.
 </li>
 <li>
 Accountable for the deployment of new features including QA, push to production and defect remediation. Ensure code development is in line with the architectural, quality and security standards and best practices.
 </li>
 <li>
 Maintain documentation standards for all software and lead acceptance criteria validation of development work.
 </li>
 <li>
 Ensure product delivery is done to a high standard with high performance across latency and scalability, extensibility, and security.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or engineering.
 </li>
 <li>
 Knowledge of Agile software development process including application of Agile techniques and delivery practices and promoting adoption of Agile methodologies to secure outcome-driven mindset in product teams.
 </li>
 <li>
 Oracle Technical certifications preferred.
 </li>
 <li>
 Technical expert skills in Oracle Cloud ERP and areas such as: Oracle API&rsquo;s, SQL, XML, PLSQL, OTBI / BIP / FRS reports, FBDI, ADFDI, BPM workflows, BI Extract for FTP, Integration and Personalization, Oracle Fusion Data Intelligence (FDI).
 </li>
 <li>
 Skilled in ESS Jobs, OM Extensions, Flex Fields (DFF, EFF, KFF), Lookups, Value sets, and Fusion Apps functional setup manager configurations.
 </li>
 <li>
 Expertise in DevOps, Security and Systems Performance desirable.
 </li>
 <li>
 Foundational expertise in security: security standards, SSO, SAML, OAUTH, etc.
 </li>
 <li>
 Understanding of Cloud architecture and ERP cloud security.
 </li>
 <li>
 Knowledge of Oracle ERP Cloud Finance modules &ndash; Payables, Receivables, General ledger, Cash Management, Assets, Projects etc.
 </li>
 </ul>
 
 
 Work location:
 
 Hyderabad, India
 
 
 
 Work pattern:
 
 Full time role.
 
 
 
 Work mode:
 
 Hybrid.
 
 
 
 
 
 
 Additional Information:
 
 
 
 McDonald&rsquo;s is committed to providing qualified individuals with disabilities with reasonable accommodations to perform the essential functions of their jobs. McDonald&rsquo;s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
 
 
 
 
 McDonald&rsquo;s Capability Center India Private Limited
 
 
 (&ldquo;
 
 McDonald&rsquo;s in India
 
 &rdquo;)
 
 
 is a proud equal opportunity employer and is committed to hiring a diverse workforce and sustaining an inclusive culture. At McDonald&rsquo;s in India, employment decisions are based on merit, job requirements, and business needs, and all qualified candidates are considered for employment. McDonald&rsquo;s in India
 
 
 does not discriminate based on race, religion, colour, age, gender, marital status, nationality, ethnic origin, sexual orientation, political affiliation, veteran status, disability status, medical history, parental status, genetic information, or any other basis protected under state or local laws.
 
 
 Nothing in this job posting or description should be construed as an offer or guarantee of employment.
 
</div>

Technical Product Analyst [T500-19981]

Amazon

<div>
 
 Description
 
 
 
 Are you interested in building high-performance, globally scalable Financial systems that support Amazon's current and future growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? Do you have a passion for ensuring a positive customer experience? This is the job for you.
 
 
 Amazon Financial Technology Team is looking for a results-oriented, driven software development engineer, who can help us create the next generation of distributed, scalable financial systems. Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts that are typically being defined in real-time. We need someone to design and develop services that facilitate global financial transactions worth billions (USD) annually.
 
 
 A Software Development Engineer (SDE) at Amazon works on real world problems on a global scale, owns their systems end to end and influences the direction of our technology that impacts hundreds of millions of customers around the world. You can expect to design flexible and scalable solutions, and work on some of the most complex challenges in large-scale computing by utilizing your skills in data structures, algorithms, and object oriented programming. Coming to Amazon gives you the opportunity to work on a small development team in one of our many rapidly growing organizations.
 
 
 You will learn all about how to design, implement and test highly scalable solutions using AWS cloud platform and its many products, in challenging agile projects, working with best in class professionals.
 
 
 
 In This Role You Will
 
 
 
 Deliver a Best-in-Class customer experience by continuously improving platform, code and services that enable receivables globally
 
 
 Build services/integration for Financial Applications
 
 
 Design and Develop Best integration patterns for our system. Leverage and integrate with different tools, technologies and products within Amazon to reduce operational cost and enhance customer experience
 
 
 Partner directly with other Software Development Engineers (SDEs), Technical Program Managers, Functional Analysts and Customers to understand features and continuously identify opportunities to build and deploy software solutions.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Define high level and low level design for software solutions using the latest AWS technology in a large distributed environment.
 </li>
 <li>
 Take the lead on defining and implementing engineering best practices and using data to define and improve operational best practices.
 </li>
 <li>
 Help drive the architecture and technology choices for FinTech accounting products.
 </li>
 <li>
 Design, develop and deploy medium to large software solutions for Amazon accounting needs.
 </li>
 <li>
 Raise the bar on code quality, including security, readability, consistency, maintainability.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 Experience programming with at least one software programming language
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
 </li>
 <li>
 Bachelor's degree in computer science or equivalent
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI HYD 13 SEZ
 
 
 Job ID: A2816879
</div>

Software Development Engineer II, Amazon

Castellum Labs

<div>
 
 
 Attention
 
 
 <ul>
 <li>
 Please apply only if you are an immediate joiner
 </li>
 <li>
 This is a full time position, with from office work only (NO WFH)
 </li>
 <li>
 Position is based out of Hyderabad
 </li>
 </ul>
 
 
 
 
 
 Company Description
 
 
 
 Castellum Labs is a Next Gen Cyber Security Technology Venture that started in 2018, from Hyderabad, India with global ambitions, to change the cybersecurity service model. The company's vision is to change the cybersecurity value model in the industry. They use SaaS platforms, advanced lab infra in the cloud and a team of specialized experts to deliver long-term value. Castellum Labs' primary focus areas in Cyber Security are application security, network and infra security, cloud security, threat detection and response, and Darkweb monitoring and OSINT.
 
 
 
 
 
 We are hiring for a front end / UI developer who will work in a development team for the SaaS platform/product for cyber security. Full stack developer with inclination to front end would be the best fit for the role. This is next generation cyber security SaaS platform, delivering advance threat intelligence and darkweb monitoring capabilities.
 
 
 
 
 
 Front End Developer / Full Stack Developer Expertise (Generic Needs)
 
 
 
 
 <ul>
 <li>
 Design and build efficient, reusable, Front end and Back End implementation
 </li>
 <li>
 Understand existing architecture and contribute to enhancements
 </li>
 <li>
 Contribute to Unit and Integration testing
 </li>
 <li>
 Identify bottlenecks and bugs, and devise solutions to these problems
 </li>
 <li>
 Excellent skills in debugging, problem diagnosis
 </li>
 <li>
 Collaboration and communication (verbal and written) skills
 </li>
 <li>
 Ability to be flexible and productive in a fast-paced environment
 </li>
 <li>
 Ability to work effectively as an individual and within a group
 </li>
 </ul>
 
 
 
 
 
 Education And Experience Required
 
 
 
 
 Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
 
 
 
 
 
 
 
 Experience - 2 to 6 years experience
 
 
 
 
 Joining - Within a month
 
 
 
 
 Location - Hyderabad (No WFH Option)
 
 
 
 
 
 
 
 Knowledge and Skills:
 
 
 <ul>
 <li>
 Good Knowledge on UI/Front End development
 </li>
 <li>
 Working experience in React framework, React JS, Node JS
 </li>
 <li>
 Good experience on JavaScript, CSS, HTML, HTML5, Responsive UI development
 </li>
 <li>
 Database skills (MySQL), querying and data model design
 </li>
 <li>
 Understanding of APIs and their call structure/models
 </li>
 <li>
 AWS &amp; Cloud technologies related basic knowledge
 </li>
 <li>
 Familiarity with web languages &amp; agile methodologies
 </li>
 <li>
 Good communication skills &amp; team skills
 </li>
 <li>
 Result oriented and schedule driven
 </li>
 <li>
 Experience in all phases of the software development lifecycle
 </li>
 <li>
 Ability to work with fast changing requirements
 </li>
 <li>
 Proficient understanding of code versioning tools such as GitHub
 </li>
 <li>
 Some Linux experience
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Note
 
 --
 
 <ul>
 <li>
 Not a 9 to 5 role (Needs deep involvement and no time constraints should be there)
 </li>
 <li>
 Needs an intent to get deeper into the cyber security areas across whole cyber spectrum
 </li>
 </ul>
</div>

Frontend Developer

Data Unveil

<div>
 
 
 About us:
 
 At Data Unveil, we believe in delivering the best for our clients (Pharma Companies). We use the latest technology and tools to aggregate and analyze specialty healthcare data received from various data partners. We provide clear and hassle-free business insights to enhance the client&rsquo;s vision and drive business success.
 
 
 &nbsp;
 
 
 Position Title: Data Analyst
 
 
 
 Experience - 2 Years to 4 Years
 
 
 
 Location: Hyderabad, Telangana.
 
 
 Hire Type: Full Time
 
 
 Start Date: Immediate
 
 
 
 
 
 
 Introduction:
 
 As a key member of our analytics team, the Data Analyst will leverage BI tools to create impactful insights that drive decision-making and strategic planning. The ideal candidate will possess a strong foundation in data analysis methodologies and experience in BI platforms. This role requires a proactive individual who can collaborate with various teams to understand business needs and deliver comprehensive data-driven solutions.
 
 
 &nbsp;
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Assist in the development and management of BI dashboards and reports to provide actionable insights into key business performance metrics.
 </li>
 <li>
 Work with cross-functional teams to gather, interpret, and utilize data to influence business decisions.
 </li>
 <li>
 Perform data extraction, cleaning, and analysis using SQL and other data manipulation languages.
 </li>
 <li>
 Create visualizations that effectively communicate trends, patterns, and predictions using relevant data.
 </li>
 <li>
 Implement and maintain best practices for data security and quality.
 </li>
 <li>
 Assist in the development and deployment of data models and databases.
 </li>
 <li>
 Continuously improve existing BI systems and processes by conducting regular system assessments and implementing new technologies as needed.
 </li>
 <li>
 Provide training and support to business users to enhance their understanding of BI tools.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Required Skills and Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in data science, Computer Science, Information Technology, or a related field.
 </li>
 <li>
 Minimum of 2 years of experience as a Data Analyst or in a related role.
 </li>
 <li>
 Strong knowledge of BI tools such as Power BI, Tableau, or similar data visualization tools.
 </li>
 <li>
 Proficient in SQL and familiarity with programming languages like Python or R.
 </li>
 <li>
 Excellent analytical, problem-solving, and organizational skills.
 </li>
 <li>
 Strong communication skills, with the ability to convey complex data in a clear and concise manner.
 </li>
 <li>
 Ability to work independently and collaboratively in a team environment.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Desirable Skills:
 
 
 <ul>
 <li>
 Experience with cloud services like AWS, Azure, or Google Cloud.
 </li>
 <li>
 Knowledge of machine learning techniques and their applications in business analytics.
 </li>
 <li>
 Knowledge of data cleansing and preparation.
 </li>
 <li>
 Background in statistical analysis and model development.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 
 
 Job description
 
 
 
 About us:
 
 At Data Unveil, we believe in delivering the best for our clients (Pharma Companies). We use the latest technology and tools to aggregate and analyze specialty healthcare data received from various data partners. We provide clear and hassle-free business insights to enhance the client&rsquo;s vision and drive business success.
 
 
 &nbsp;
 
 
 
 Position Title: Data Analyst
 
 
 
 Location: Hyderabad, Telangana.
 
 
 Hire Type: Full Time, on-site.
 
 
 Start Date: Immediate.
 
 
 &nbsp;
 
 
 
 Job Summary:
 
 We seek a highly analytical and detail-oriented individual to join our team as a Data Analyst. The successful candidate will interpret data, analyze results, and provide insights to support decision-making across various departments. The ideal candidate should possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex findings effectively.
 
 
 &nbsp;
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze large datasets to identify trends, patterns, and correlations.
 </li>
 <li>
 Develop and maintain reports, dashboards, and visualizations to present key insights to stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
 </li>
 <li>
 Conduct ad-hoc analysis to address specific business questions and challenges.
 </li>
 <li>
 Identify opportunities for process improvement and efficiency gains through data analysis.
 </li>
 <li>
 Stay updated on industry trends and best data analytics and visualization practices.
 </li>
 <li>
 Communicate findings and recommendations to technical and non-technical audiences through written reports and presentations.
 </li>
 <li>
 &nbsp;
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's degree in mathematics, Statistics, Computer Science, or a related field.
 </li>
 <li>
 Proven experience as a data analyst or in a similar role, with a strong track record of delivering actionable insights.
 </li>
 <li>
 Proficiency in SQL for data manipulation and extraction.
 </li>
 <li>
 Experience with statistical analysis tools.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to work with large datasets.
 </li>
 <li>
 Excellent communication and interpersonal skills, with the ability to collaborate effectively with team members at all levels of the organization.
 </li>
 <li>
 Detail-oriented, organized, and able to manage multiple projects simultaneously.
 </li>
 <li>
 Experience working with cloud-based data platforms such as AWS or Azure is desirable.
 </li>
 </ul>
</div>

Data Analyst

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