account manager

category manager

key account manager

operations manager

account manager - smb

analytics manager

TTK Prestige Ltd

<div>
 <ul>
 <li>
 
 Position Title &ndash;Data Analytics Manager
 
 </li>
 <li>
 Location &ndash; Bengaluru-Corporate Office
 </li>
 <li>
 Total Experience of 4 to 10 Years
 </li>
 <li>
 Qualification &ndash;
 
 Bachelor's in data science &amp; Statistics, Computer Science, or bachelor's in Engineering
 
 </li>
 <li>
 
 Direct Reporting &ndash; Nil (Individual Contributor)
 
 </li>
 <li>
 Industry-
 
 FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail
 
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:-
 
 
 
 
 
 
 
 Data Analysis and Reporting:
 
 
 <ul>
 <li>
 Be the central point for all business and performance analytics
 </li>
 <li>
 Oversee the collection, processing, and interpretation of large datasets
 </li>
 <li>
 Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
 </li>
 <li>
 Develop self-serve BI tools and automated reporting for functional leaders
 </li>
 <li>
 Identify trends, patterns, and insights to drive strategic decision-making
 </li>
 <li>
 Build and maintain executive dashboards to monitor business health and performance metrics.
 </li>
 </ul>
 
 
 
 
 
 Data Strategy Development:
 
 
 <ul>
 <li>
 Develop and implement data analytics strategies to support business objectives.
 </li>
 <li>
 Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
 </li>
 <li>
 Collaborate with other departments to understand their data needs and provide actionable insights.
 </li>
 </ul>
 
 
 
 
 
 Team Management:
 
 
 <ul>
 <li>
 Led and mentored a team of data analysts and MIS experts
 </li>
 <li>
 Ensured projects were completed on time and within budget
 </li>
 <li>
 Foster a collaborative and innovative work environment
 </li>
 </ul>
 
 
 
 
 
 Tool and System Management:
 
 
 <ul>
 <li>
 Implement and maintain data analytics tools and systems
 </li>
 <li>
 Ensure the efficient operation of data collection and analysis processes
 </li>
 <li>
 Troubleshoot and resolve any issues related to data systems
 </li>
 <li>
 Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
 </li>
 <li>
 Provide ROI analysis on transformation and cost-saving initiatives
 </li>
 </ul>
 
 
 
 
 
 Stakeholder Communication:
 
 
 <ul>
 <li>
 Act as the analytics point of contact for strategy-related initiatives
 </li>
 <li>
 Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
 </li>
 <li>
 Present insights and recommendations to senior leadership in a clear and compelling manner
 </li>
 </ul>
 
 
 
 
 
 Other Responsibilities:
 
 
 <ul>
 <li>
 Delivery of data services to support marketing activities
 </li>
 <li>
 Program and develop Extract, Transform and Load programs to support integration
 </li>
 <li>
 Ensure data quality within the database - Data Loading and error handling
 </li>
 <li>
 User Acceptance Test to ensure Quality in deliverables
 </li>
 <li>
 Produce high standard of documentation on data flows and processes
 </li>
 <li>
 Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
 </li>
 <li>
 Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
 </li>
 <li>
 Defined and set up reporting and analysis processes and deliverables that meet client objectives.
 </li>
 </ul>
 
 
 
 
 
 Key Performance Indicator:-
 
 
 <ul>
 <li>
 
 Data Accuracy
 
 : Accuracy and reliability of data collected and analyzed
 </li>
 <li>
 
 Insight Utilization
 
 : Percentage of business decisions influenced by data insights
 </li>
 <li>
 
 Project Timeliness
 
 : Completion of data projects within the agreed timelines
 </li>
 <li>
 
 Team Performance
 
 : Productivity and development of the data analytics team
 </li>
 <li>
 
 Stakeholder Satisfaction
 
 : Feedback from stakeholders on the usefulness and clarity of data insights
 </li>
 <li>
 
 Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)
 
 </li>
 </ul>
 
 
 
 
 
 Remarks:-
 
 
 <ul>
 <li>
 Experience working with ERP &amp; CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
 </li>
 <li>
 Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
 </li>
 <li>
 Knowledge of data management best practices and regulatory requirements.
 </li>
 <li>
 Knowledge of data management best practices and regulatory requirements.
 </li>
 <li>
 Good Communication &amp; Influencing Skills.
 </li>
 <li>
 Looking for stable candidates only
 
 (Frequent job changes will be not considered).
 
 </li>
 <li>
 Local Candidates will be preferred
 </li>
 </ul>
 
 
</div>

Data Analytics Manager

PwC Acceleration Center India

<div>
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
 
 
 
 Years of Experience:
 
 Candidates with 12+ years of hands on experience
 
 
 
 Position:
 
 Senior Manager
 
 
 
 Industry:
 
 Supply Chain/Forecasting/Financial Analytics
 
 
 
 Required Skills:
 
 Successful candidates will have demonstrated the following skills and characteristics:
 
 
 
 Must Have
 
 
 
 <ul>
 <li>
 Proven expertise in supply chain analytics across domains such as demand forecasting, inventory optimization, logistics, segmentation, and network design
 </li>
 <li>
 Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage
 </li>
 <li>
 Proficiency in forecasting techniques (e.g., Holt-Winters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised)
 </li>
 <li>
 Possesses strong knowledge of statistics, including statistical tests and distributions.
 </li>
 <li>
 Possesses a strong understanding of data preparation and analysis, including exploratory data analysis, data preparation, and feature engineering.
 </li>
 <li>
 Demonstrates deep expertise in various algorithms, including traditional, ensemble, and deep learning algorithms
 </li>
 <li>
 Hands-on experience with machine learning frameworks: scikit-learn, H2O, TensorFlow, PyTorch, MLlib, etc.
 </li>
 <li>
 Strong programming proficiency in Python/PySpark/Scala, SQL
 </li>
 <li>
 Experience in cloud-based model deployment (Azure ML, Azure Databricks, GCP Vertex AI, AWS SageMaker)
 </li>
 <li>
 Familiarity with MLOps, containerization (Docker, Kubernetes), and orchestration tools (e.g., Airflow)
 </li>
 <li>
 Strong presentation and stakeholders' communication
 </li>
 <li>
 Experience building impactful dashboards using Power BI, Tableau, AWS QuickSight
 </li>
 <li>
 Strong communication and stakeholder engagement skills at the executive level
 
 
 </li>
 </ul>
 
 Roles And Responsibilities
 
 
 
 <ul>
 <li>
 Develop and execute project and analysis plans, collaborating closely with Project Managers for optimal outcomes.
 </li>
 <li>
 Serve as a subject matter expert, advising US-based consultants and clients on data formalization and use case clarity.
 </li>
 <li>
 Utilize advanced analytics tools to drive and conduct comprehensive analyses while coaching junior team members.
 </li>
 <li>
 Implement stringent quality control measures to ensure the integrity and accuracy of deliverables.
 </li>
 <li>
 Validate analysis outcomes and recommendations with stakeholders, including client teams, to align expectations.
 </li>
 <li>
 Craft compelling storylines and presentations for both client teams and project leadership to convey insights effectively.
 </li>
 <li>
 Lead strategic analytics programs from vision to execution, ensuring alignment with business objectives and impact.
 </li>
 <li>
 Act as a thought partner to clients, guiding analytics strategy, roadmap development, and transformation initiatives.
 </li>
 <li>
 Translate complex business challenges into structured analytical solutions using statistical and machine learning techniques.
 </li>
 <li>
 Collaborate across technology, operations, and business consulting teams to ensure seamless integrated delivery.
 
 
 </li>
 </ul>
 
 Professional And Educational Background
 
 
 
 BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master&rsquo;s Degree /MBA from reputed institute
</div>

Supply Chain - Data Scientist ,Cloud- Senior Manager

PwC India

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Not Applicable
 
 
 
 
 Specialism
 
 
 Data, Analytics &amp; AI
 
 
 
 
 Management Level
 
 
 Manager
 
 
 
 
 Job Description &amp; Summary
 
 
 At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
 
 
 Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
 
 
 
 
 Why PWC
 
 
 
 At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for&nbsp;our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for&nbsp;each other. Learn more about us.
 
 
 At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations
 
 
 Job Description &amp; Summary: A career within&hellip;. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
 
 
 Responsibilities:
 
 
 Key Responsibilities &middot; Python, TensorFlow or PyTorch, Scikit-learn, and XGBoost, computer vision and NLP, MLOPs. &middot; Recommendation algorithms (collaborative filtering, content-based filtering). &middot; Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or AWS. &middot; VertexAI experience where working with model deployment, model training pipelines should be part of experience &middot; Experience with real-world ML applications in retail such as recommendation systems, demand forecasting, inventory optimization, or customer segmentation. &middot; Experience in Retail
 
 
 Mandatory skill sets:
 
 
 &middot; Python, TensorFlow or PyTorch, Scikit-learn, and XGBoost, computer vision and NLP, MLOPs. &middot; Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or AWS.
 
 
 Preferred skill sets:
 
 
 &middot; Experienced with MLOps tools and cloud platforms - any of GCP , Azure, Databricks, or
 
 
 Years of experience required:
 
 
 7-11
 
 
 Education qualification:
 
 
 B.Tech / M.Tech / MBA / MCA
 
 
 
 
 
 
 
 Education
 
 
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required: Master of Business Administration, Master of Engineering, Bachelor of Engineering
 
 
 Degrees/Field of Study preferred:
 
 
 
 
 
 Certifications
 
 
 
 
 (if blank, certifications not specified)
 
 
 
 
 
 
 Required Skills
 
 
 Python (Programming Language)
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

IN-Manager _Data Scientist_ Data Analytics_ Advisory_ Bangalore

Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 The
 
 Manager - Digital Experience Insights
 
 will oversee the development and delivery of actionable insights that drive personalized, data-informed digital experiences across platforms. This role leads a multidisciplinary team of digital analysts and data strategists, ensuring seamless collaboration between business, technical, and creative stakeholders.
 
 
 The ideal candidate is a strategic thinker and hands-on leader with a strong background in digital analytics, data storytelling, and cross-functional communication. You will be responsible for driving analytical excellence, ensuring data integrity, and delivering insights that inform content strategy, personalization, and performance optimization.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Lead and mentor a team of digital analysts and insights specialists, fostering a culture of curiosity, collaboration, and continuous learning.
 </li>
 <li>
 Own the roadmap for digital analytics initiatives, including KPI development, reporting frameworks, and insight generation.
 </li>
 <li>
 Partner with the existing Experience Insights team to define measurement strategies and ensure alignment on business goals.
 </li>
 <li>
 Translate complex data into clear, compelling narratives that influence decision-making across the organization.
 </li>
 <li>
 Oversee the implementation and optimization of analytics tools and platforms (e.g., Adobe Analytics, Adobe Customer Journey Analytics, Tableau).
 </li>
 <li>
 Ensure data quality, governance, and consistency across digital channels and reporting outputs.
 </li>
 <li>
 Drive the development of dashboards, scorecards, and ad hoc analyses to monitor performance and uncover opportunities.
 </li>
 <li>
 Collaborate with data engineering and IT teams to enhance data pipelines and enable scalable analytics solutions.
 </li>
 <li>
 Identify and implement innovations in data visualization, automation, and predictive modeling to elevate team impact.
 </li>
 </ul>
 
 
 
 
 
 What you need to succeed (minimum qualifications):
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Information Systems or BE / B Tech or ME / M Tech, preferably in a technical or scientific field
 </li>
 <li>
 Experience in Team Leadership: Managed, mentored, coached and developed teams, fostering a collaborative and creative work environment
 </li>
 <li>
 Experience in Resource Allocation, Capacity Planning &amp; Resource utilization
 </li>
 <li>
 12 years of relevant work experience, with at least 5 in a people leadership position
 </li>
 <li>
 3-5+ years of experience in digital analytics, marketing analytics, or data strategy roles.
 </li>
 <li>
 Proven experience leading teams and managing cross-functional analytics initiatives.
 </li>
 <li>
 Strong understanding of digital ecosystems, including web, mobile, and app analytics.
 </li>
 <li>
 Proficiency in analytics platforms (e.g., Adobe Analytics, Adobe Customer Journey Analytics), data visualization tools (e.g., Tableau, Power BI), and SQL
 </li>
 <li>
 Excellent communication and storytelling skills with the ability to influence stakeholders at all levels.
 </li>
 <li>
 Demonstrated ability to bridge the gap between data, strategy, and execution.
 </li>
 <li>
 Experience in Performance Management by providing regular performance feedback, recognizing achievements and addressing areas for improvement.
 </li>
 <li>
 Consistently prioritizes the security and privacy of data and user information.
 </li>
 <li>
 Embraces diverse people, thinking, and styles.
 </li>
 </ul>
 
 
 
 
 
 What will give you a competitive edge (Preferred Qualifications):
 
 
 <ul>
 <li>
 Strong cross functional collaboration
 </li>
 <li>
 Experience in e-commerce, retail, or airline digital environments.
 </li>
 <li>
 Experience with session replay tools (e.g., Quantum Metric)
 </li>
 <li>
 Experience with AI/ML-driven analytics or predictive modeling.
 </li>
 <li>
 Ability to define and track operational KPIs (e.g., engagement, conversion, retention) to drive performance.
 </li>
 <li>
 Experience scaling analytics capabilities in a fast-paced, matrixed organization.
 </li>
 <li>
 Passion for innovation and continuous improvement in digital measurement and insights.
 </li>
 <li>
 Experience with AWS ( Glue or Database)
 </li>
 <li>
 Ability to evaluate and implement new technologies that improve delivery speed, quality, or personalization capabilities.
 </li>
 </ul>
</div>

Manager - Digital Experience Insights [T500-19945]

Tesco Bengaluru

<div>
 
 About the role
 
 
 Please refer to you are Responsible for :-
 
 
 You will be responsible for
 
 
 &nbsp;Developing and leading a high performing team, creating an environment for success by setting direction and coaching them to succeed through inspiring conversations every day. (Refer to the expectations of a manager at Tesco- the minimum standards)- Promoting a culture of CI within their teams to drive operational improvements- Accountable for achieving team's objectives, stakeholder management and escalation management- Provides inputs that impact the functions plans, policies, influences the budget and resources in their scope.Accountable to EA and market leaderships for building the analytics road-map and improve analytical maturity of partnering functions with in depth understanding of key priorities &amp; outcome.&nbsp;- Accountable to shape &amp; own the analytics workplan, proactively spot size able opportunities and deliver programs successfully that will result in disproportionate returns- Thought leadership in scoping the business problems, solutions and bringing disruptive / depth oriented solutions to complex problems and institutionalize robust ways of working with business partners- Partner with TBS and markets finance team to measure the value delivered through analytics initiatives- Build impact driven teams by creating an environment for success by setting direction, objectives and mentor managers,&nbsp; and guide teams to craft analytical assets which will deliver value in sustainable manner- Be the voice and represent Enterprise Analytics on internal and external forums- Provides inputs that impact the functions plans, policies, influences the budget and resources in their scope- Developing managers and colleagues to succeed through inspiring conversations every day
 
 
 You will need
 
 
 Understanding of machine learning techniques, Linear &amp; Logistics regression, Decision Trees, Random Forest, XGBoost and Neural Network&nbsp;- Knowledge of Python, SQL, Hive and Visualization tools (e.g. Tableau )- Retail Expertise, Partnership management, Analytics&nbsp;- Conceptual application to larger business context, Storyboarding, Managing managers
 
 
 Whats in it for you?
 
 
 At Tesco, we are committed to providing the best for you.&nbsp;
 
 &nbsp;
 
 As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.&nbsp;
 
 &nbsp;
 
 Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.&nbsp;&nbsp;
 
 &nbsp;
 
 Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.&nbsp;
 
 &nbsp;
 
 
 Salary -
 
 
 
 Your fixed pay is the guaranteed pay as per your contract of employment.&nbsp;
 
 &nbsp;
 
 
 Performance Bonus -
 
 
 
 Opportunity to earn additional compensation bonus based on performance, paid annually&nbsp;
 
 &nbsp;
 
 
 Leave &amp; Time-off -
 
 Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.&nbsp;
 
 &nbsp;
 
 
 Making Retirement Tension-FreeSalary -
 
 In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.&nbsp;
 
 &nbsp;
 
 
 Health is Wealth -
 
 Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.&nbsp;
 
 &nbsp;
 
 
 Mental Wellbeing -
 
 We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Financial Wellbeing -
 
 Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Save As You Earn (SAYE) -
 
 Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.&nbsp;&nbsp;
 
 &nbsp;
 
 
 Physical Wellbeing -
 
 Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.&nbsp;
 
 
 About Us
 
 
 
 Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers.&nbsp;
 
 &nbsp;
 
 Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues.&nbsp;
 
 &nbsp;
 
 
 Tesco Business Solutions:
 
 &nbsp;
 
 &nbsp;
 
 Established in 2017, Tesco Business Solutions (TBS) has evolved from a single entity traditional shared services in Bengaluru, India (from 2004) to a global, purpose-driven solutions-focused organisation. TBS is committed to driving scale at speed and delivering value to the Tesco Group through the power of decision science. With over 4,400 highly skilled colleagues globally, TBS supports markets and business units across four locations in the UK, India, Hungary, and the Republic of Ireland. The organisation underpins everything that the Tesco Group does, bringing innovation, a solutions mindset, and agility to its operations and support functions, building winning partnerships across the business. TBS's focus is on adding value and creating impactful outcomes that shape the future of the business. TBS creates a sustainable competitive advantage for the Tesco Group by becoming the partner of choice for talent, transformation, and value creation.
</div>

Senior Manager-Decision Scientist

Cleartrip

<div>
 
 
 
 Assistant Manager &ndash; Social Media, at Shopsy
 
 
 
 
 About the team - Brand Team at Shospy
 
 
 We are looking for an Assistant Manager - Marketing Analytics (Social Media Focus) to lead Shopsy&rsquo;s social media growth and performance measurement. The ideal candidate will have a data-driven mindset, a deep understanding of content analytics, and a knack for scaling engagement across platforms. If you&rsquo;re passionate about using insights to optimize content, grow brand presence, and drive business impact, this role is for you!
 
 
 
 
 
 
 
 You are Responsible for:
 
 
 
 
 
 Social Media Strategy &amp; Growth
 
 :
 
 <ul>
 <li>
 Drive social media content for Shopsy&rsquo;s social channels backed with strategy with a goal to increase engagement.
 </li>
 <li>
 Drive brand and sale campaigns on social media platforms to increase visits and installs for the apps
 </li>
 <li>
 Collaborate with vendors to execute social media content.
 </li>
 </ul>
 
 
 Influencer Marketing &amp; Brand Campaigns:
 
 
 <ul>
 <li>
 Manage influencer agencies to identify, onboard, and collaborate with the right creators.
 </li>
 <li>
 Develop and execute influencer-led campaigns to drive brand visibility.
 </li>
 <li>
 Evaluate influencer performance based on engagement metrics and ROI.
 </li>
 </ul>
 
 
 Data-Driven Insights &amp; Performance Analysis
 
 :
 
 <ul>
 <li>
 Track, measure, and analyze content effectiveness using social listening and analytics tools.
 </li>
 <li>
 Identify trends, audience preferences, and engagement drivers to refine strategy.
 </li>
 <li>
 Provide data-backed recommendations for content optimizations and campaign improvements.
 </li>
 </ul>
 
 
 Social Media Analytics and Post Boosting
 
 
 <ul>
 <li>
 Organic Performance Analysis: Monitor and analyze key social media metrics (reach, engagement, impressions) to generate actionable insights and reports for content optimization. Conduct competitive and trend analysis focused on organic, influencer and boosting performance.
 </li>
 <li>
 Boost Strategy &amp; Optimization: Assist in planning, executing, and optimizing social media post boosting campaigns, including targeting and budget. Monitor effectiveness to amplify organic reach and achieve marketing objectives.
 </li>
 <li>
 Data-Driven Recommendations: Translate social media data into clear recommendations for content, influencer campaigns, and budget efficiency.
 </li>
 <li>
 Tools Proficiency: Utilize analytics platforms and internal dashboards for data extraction, interpretation, and reporting.
 </li>
 </ul>
 
 
 
 
 
 You should have the following:
 
 
 <ul>
 <li>
 Proficiency in many social media platforms like- Instagram. Experience in scaling up the Instagram page &amp; content.
 </li>
 <li>
 Experience in executing influencer-led campaigns
 </li>
 <li>
 Keen interest in social media and social media analytics.
 </li>
 <li>
 Proactive in coming up with engaging ideas.
 </li>
 <li>
 Bring a data backed approach to social media via analytics.
 </li>
 </ul>
</div>

Assistant Manager Social Media

ZeroFox

<div>
 ZeroFox seeks an enthusiastic Data Analyst to join our growing Business Intelligence team. You will be responsible for analytics needs and quality assurance across the organization, working with teams and leadership to define and shape self-service analytics and a data driven organization. You'll also help drive a robust quality assurance and data accuracy practice, as well as grow the relationship between the Analytics team and the rest of the organization, empowering team members to reach out and request analytical support as they need it. If you are a self starter, excited about building a data driven culture, and motivated by making an impact, then you may be a good fit for this role.
 
 
 <ul>
 <li>
 You will work with leads across the company to define analytics requirements
 </li>
 <li>
 You will develop dashboards for teams across the org to support key business decisions
 </li>
 <li>
 You will define business metrics (KPIs) and maintain a data dictionary
 </li>
 <li>
 You will work with Business Intelligence Analysts and Engineers to model data in a scalable way
 </li>
 <li>
 You will triage and prioritize analytics requests from across the organization
 </li>
 <li>
 You should have Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
 </li>
 <li>
 You have an interest in developing your data storytelling abilities, as well as the ability to articulate technical information to a non-technical audience
 </li>
 <li>
 You have inherent curiosity, skepticism, and analytical follow-through - you can't help but ask "why?" and love using data and logic to explore potential solutions
 </li>
 <li>
 You are a self starter with the ability to prioritize, meet deadlines, and identify opportunities with limited oversight
 </li>
 <li>
 You have high proficiency in SQL and prior experience in tools such as: Postgres, BigQuery, and Excel.
 </li>
 <li>
 You have experience in statistics (e.g. hypothesis testing, regressions, experimentation logic and biases, data normalization techniques)
 </li>
 <li>
 You have experience developing and documenting data models
 </li>
 <li>
 You should train end-users on new reports and dashboards
 </li>
 <li>
 You are a team player with excellent collaboration and communication skills
 </li>
 <li>
 2+ years of analytics experience obtained from at least 1 full time job
 </li>
 <li>
 Background and foundational knowledge in databases and ETL process
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 You have had more than 3+yrs work experience on full time data analysis teams
 </li>
 <li>
 You have experience with designing self service analytics
 </li>
 <li>
 You have experience managing a modern BI tool like apache Superset, Data Studio, Tableau or Good Data
 </li>
 <li>
 Experience in Using Salesforce and Zendesk to build reports and dashboards
 </li>
 <li>
 You have experience managing small teams and/or projects
 </li>
 <li>
 Python knowledge
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive compensation
 </li>
 <li>
 Community-driven culture with employee events
 </li>
 <li>
 Generous time off
 </li>
 <li>
 Best-in-class benefits
 </li>
 <li>
 Fun, modern workspace
 </li>
 <li>
 Respectful and nourishing work environment, where every opinion is heard and everyone is encouraged to be an active part of the organizational culture
 </li>
 </ul>
</div>

BI Data Analyst

Explore 259+ Analytics manager in Mangaluru this September. Find roles across top companies and apply now to boost your career.