JOB SUMMARY: The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -
Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.
Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.
Working with Internal audit project teams to understand the analytics requirements for audit engagements.
Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.
Proficient in data management and data mining.
Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.
Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.
Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.
Establishing and maintaining relationships with all key stakeholders of internal audit.
Coaching other data analysts on analytics procedures, coding and tools.
Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.
Ensuring timely and accurate time tracking.
Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.
About Tire1 company
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The client is an industry leader in CRM messaging solutions on SAS platform. They work with global customers across many industries including contact centers, financial services, higher education, retail, staffing, wellness, and more. Our customers range from small and mid-size businesses to large global enterprises.
As a Director of Information Systems , you will oversee and manage the organization's information technology (IT) and information systems operations. You will leverage Information systems, tools, data and analytics to support stakeholders across Product, Sales, Marketing, Operations, and Finance.
You will lead and directly manage a team of data analysts, while partnering with other teams across the organization and directly report to the COO.
Key Responsibilities:
● Collaborate with senior management to understand their data requirements and develop data management strategy aligned with the organization's goals and objectives. Define KPI around data and lead the initiatives.
● Develop and implement data architecture, which is a blueprint for how data is organized and stored within an organization. Provide necessary interventions to ensure critical business decisions are taken well in time.
● Implement master data management (MDM) processes and solutions to establish a single source of truth for critical data entities. Define data hierarchies, data models, and data stewardship responsibilities. Oversee the maintenance and synchronization of master data across systems.
● Work with other departments to identify data trends and patterns that support the organization’s objectives. This will include using data visualization tools, such as dashboards and charts, to help identify trends and insights.
● Evaluate, select, and manage vendors and service providers to ensure effective delivery of services and solutions.
● Build and manage a high-performing systems and information team.Set clear goals, performance expectations, and KPIs for the team, conducting regular performance reviews and providing guidance/feedback.
Qualifications and Skills:
● Bachelor's degree in computer science, information systems, or a related field.
● Experience ( 7-10 years) in systems management, information technology, or a related role within the SaaS industry.
● Strong knowledge of data analysis methods, tools, and best practices. Experience in Salesforce and Power BI is a must.
● Ability to do requirements analysis of business processes for efficiency, data accuracy, data control, and make data-driven recommendations
● Excellent problem-solving and decision-making skills, attention to detail, with the ability to prioritize tasks and manage multiple projects simultaneously.
● Knowledge of industry best practices and emerging trends in systems management and information technology.
● Demonstrated ability to lead and manage cross-functional teams, fostering collaboration and driving results.
● Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
Job Title:- Head of Analytics
Job Location:- Bangalore - On - site
About Qrata:
Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up
We are currently scouting for Head of Analytics
Our Client Story:
Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.
We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.
1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards
2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites
3. A Card for Everything Enable customer purchases, both large and small
4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc
5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections
6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you
What you will do:
We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business
Qualification:
- Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field
- Proven experience (7+ years) in leading analytics teams in the credit card industry
- Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques
- Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL
- Experience with analytics tools such as SAS, SPSS, or Tableau
- Excellent leadership and team management skills, with a track record of building and developing high-performing teams
- Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle
- Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience
What you can expect:
1. Develop and implement Analytics Strategy:
o Define the analytics roadmap for the credit card business, aligning it with overall business objectives
o Identify key performance indicators (KPIs) and metrics to track the performance of the credit card business
o Collaborate with senior management and cross-functional teams to prioritize and execute analytics initiatives
2. Lead Data Analysis and Insights:
o Conduct in-depth analysis of credit card data, customer behaviour, and market trends to identify opportunities for business growth and risk mitigation
o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities
o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies
o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information
3. Drive Data Governance and Quality:
o Oversee data governance initiatives, ensuring data accuracy, consistency, and integrity across relevant systems and platforms
o Collaborate with IT teams to optimize data collection, integration, and storage processes to support advanced analytics capabilities
o Establish and enforce data privacy and security protocols to comply with regulatory requirements
4. Team Leadership and Collaboration:
o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning
o Provide guidance and mentorship to the team, promoting professional growth and development
o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives
5. Stay Updated on Industry Trends:
o Keep abreast of emerging trends, techniques, and technologies in analytics, credit card business, and the financial industry
o Leverage industry best practices to drive innovation and continuous improvement in analytics methodologies and tools
For more Opportunities Visit: Qrata Opportunities.
About Us
Railofy aims at solving one of the biggest challenges of Indian domestic travellers – Waitlist problem in Indian Railways.
We are a small team of technologists who have made a significant breakthrough progress in this field using AI, so that no waitlisted railway passenger has to ever miss a trip again.
We are backed by some of the leading VC investors in India (learn more about us on railofy.com)
About the role-
*Must be train smart* (Indian Railways)
As a Data Analyst, you will work with the database and data-science team in managing and updating the ever changing database related to trains, airports and buses etc.
You will also play a key role in monitoring the key KPIs.
Needless to say, you will be exposed to almost all the verticals of a tech startup and play a key role in solving real life problems.
Key Requirements
- Minimum 1 year of experience managing databases, MIS reporting or analytics (non-technical)
- Should be ‘ Train Smart ‘. Knowledge of Indian Railways and trains is required
- Hands-on with MS excel and google sheets
- Access to laptop & internet to work from home
- Willing to relocate to Mumbai
- Graduation (completed) from reputed school / college (any field)
- Good problem-solving skills and ability to think strategically
- Motivation to join an early stage startup and should go beyond compensation
- Should be always open for new learnings and responsibilities
Job Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data.
- Analyze large amounts of information to discover trends and patterns
- Helping develop reports and analysis.
- Present information using data visualization techniques.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Evaluating changes and updates to source production systems.
- Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Propose solutions and strategies to business challenges
Desired Skills and Experience:
- At least 1 year of experience in Data Analysis
- Complete understanding of Operations Research, Data Modelling, ML, and AI concepts.
- Knowledge of Python is mandatory, familiarity with MySQL, SQL, Scala, Java or C++ is an asset
- Experience using visualization tools (e.g. Jupyter Notebook) and data frameworks (e.g. Hadoop)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills.
- Bachelor’s / Master's Degree in Computer Science, Engineering, Data Science or other quantitative or relevant field is preferred
Senior Data Scientist-Job Description
The Senior Data Scientist role is a creative problem solver who utilizes statistical/mathematical principles and modelling skills to uncover new insights that will significantly and meaningfully impact business decisions and actions. She/he applies their data science expertise in identifying, defining, and executing state-of-art techniques for academic opportunities and business objectives in collaboration with other Analytics team members. The Senior Data Scientist will execute analyses & outputs spanning test design and measurement, predictive analytics, multivariate analysis, data/text mining, pattern recognition, artificial intelligence, and machine learning.
Key Responsibilities:
- Perform the full range of data science activities including test design and measurement, predictive/advanced analytics, and data mining, and analytic dashboards.
- Extract, manipulate, analyse & interpret data from various corporate data sources developing advanced analytic solutions, deriving key observations, findings, insights, and formulating actionable recommendations.
- Generate clearly understood and intuitive data science / advanced analytics outputs.
- Provide thought leadership and recommendations on business process improvement, analytic solutions to complex problems.
- Participate in best practice sharing and communication platform for advancement of the data science discipline.
- Coach and collaborate with other data scientists and data analysts.
- Present impact, insights, outcomes & recommendations to key business partners and stakeholders.
- Comply with established Service Level Agreements to ensure timely, high quality deliverables with value-add recommendations, clearly articulated key findings and observations.
Qualification:
- Bachelor's Degree (B.A./B.S.) or Master’s Degree (M.A./M.S.) in Computer Science, Statistics, Mathematics, Machine Learning, Physics, or similar degree
- 5+ years of experience in data science in a digitally advanced industry focusing on strategic initiatives, marketing and/or operations.
- Advanced knowledge of best-in-class analytic software tools and languages: Python, SQL, R, SAS, Tableau, Excel, PowerPoint.
- Expertise in statistical methods, statistical analysis, data visualization, and data mining techniques.
- Experience in Test design, Design of Experiments, A/B Testing, Measurement Science Strong influencing skills to drive a robust testing agenda and data driven decision making for process improvements
- Strong Critical thinking skills to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyse data to solve problems.
- Experience in partnering with IT, marketing operations & business operations to deploy predictive analytic solutions.
- Ability to translate/communicate complex analytical/statistical/mathematical concepts with non-technical audience.
- Strong written and verbal communications skills, as well as presentation skills.
We are a fast-growing digital, cloud, and mobility services provider with a principal market being North
America. We are looking for talented database/SQL experts for the management and analytics of large
data in various enterprise projects.
Responsibilities
Translate business needs to technical specifications
Manage and maintain various database servers (backup, replicas, shards, jobs)
Develop and execute database queries and conduct analyses
Occasionally write scripts for ETL jobs.
Create tools to store data (e.g. OLAP cubes)
Develop and update technical documentation
Requirements
Proven experience as a database programmer and administrator
Background in data warehouse design (e.g. dimensional modeling) and data mining
Good understanding of SQL and NoSQL databases, online analytical processing (OLAP) and ETL
(Extract, transform, load) framework
Advance Knowledge of SQL queries, SQL Server Reporting Services (SSRS) and SQL Server
Integration Services (SSIS)
Familiarity with BI technologies (strong Tableu hands-on experience) is a plus
Analytical mind with a problem-solving aptitude
● Understanding user behavior and performing root-cause analysis of changes in data trends
to identify corrections or propose desirable enhancements in product & across different
verticals
● Excellent problem solving skills and the ability to make sound judgments based on trade-offs for different solutions to complex problem constraints
● Defining and monitoring KPIs for product/content/business performance and identifying
ways to improve them
● Should be a strong advocate of data driven approach and drive analytics decisions by doing user testing, data analysis, and A/B testing
● Help in defining the analytics roadmap for the product
● Working with stakeholders, including Customer Support team, Customer Success team and senior executive management to address customer/product problems effectively.
● Providing regular reports to the management on product performance and issues.
● Managing prioritization and trade-offs between customer experience, business impact and product performance.
● Working with the PM team during the sprint releases to help enhance the product with
long-term solutions for product issues.
● Driving the collection of new data that would help build the next generation of algorithms
(E.g. audience segmentation, contextual targeting)
● Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data projects
● Develop user archetypes and build dashboards to demonstrate their usage patterns
● Capture and document data user stories, use cases, and workflows
In this role, we are looking for:
- A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
- The unique person who can present complex mathematical solutions in a simple manner that most will understand, using data visualization techniques to tell a story with data.
- An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
- A team mentality, empowered by the ability to work with a diverse set of individuals.
- A passion for data, with a particular emphasis on data visualization.
Basic Qualifications
- A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on data analytics.
- 5+ Years professional experience, preferably in a data analyst / data scientist role or similar, with proven results in a data analyst role.
- 3+ Years professional experience in a leadership role guiding high-performing, data-focused teams with a track record of building and developing talent.
- Proficiency in your statistics / analytics / visualization tool of choice, but preferably in the Microsoft Azure Suite, including PowerBI and/or AzureML.
Must have experience in BFSC domain.
Exp- Min 3yrs
Location- Pune
Mandatory Skills- Exp in powerBI/Tableau,
SQL
Basic Python