Job Description: Project Manager
Internal Role: Delivery Manager
Type: Full time
Location: Bangalore
Internal Role: Delivery Manager
About Dataweave:
About Us
DataWeave provides “Competitive Intelligence as a Service” to Retailers and Consumer brands helping them optimize their offerings through effective pricing, assortment and promotional recommendations.
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the Web. At serious scale!
Read more on http://dataweave.com/about/become-dataweaver">Become a DataWeaver
Job Description:
- Develop a detailed project plan (Ensuring resource availability and allocation) to track progress
- Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
- Ensure that all projects are delivered on-time, within scope and within budget
- Coordinate internal resources and third parties/vendors for the flawless execution of projects
- Use appropriate verification techniques to manage risks, changes in project scope, schedule and costs
- Measure project performance using appropriate systems, tools and techniques
- Report and escalate to management as needed
- Establish and maintain relationships with Clients, internal stakeholders, third parties / vendors
- Create and maintain comprehensive project documentation
- Definition of service level agreements (SLA) in relation to services, ensuring the SLA’s are achieved; data sanity and hygiene & client expectations are exceeded
- Effectively monitor, control and support delivery, ensuring standard operating procedures and methodologies are followed
- Create KPIs for monitoring and review and publish health stats on a recurring basis
Key Skills / Knowledge required:
- Proven ability to switch context, manage multiple short projects
- Relevant experience of 3-5 years and overall experience of 8+ yrs
- Exposure to Analytics delivery process, ability to troubleshoot using insights within the data
- Basic Database query skills, with knowledge of Web-crawling concepts is preferred
- Excellent communication skills
- Team management and ability to deliver while working with cross functional teams
- Exposure to Agile Development (Scrum / Kanban) methodology is a plus
About Dataweave Pvt Ltd
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Job Description:
We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will possess strong analytical skills, proficiency in data manipulation and visualization tools, and a passion for deriving actionable insights from complex datasets. The Data Analyst will play a key role in interpreting data, identifying trends, and providing valuable recommendations to support strategic business objectives.
Key Responsibilities:
- Analyze large datasets to extract meaningful patterns, trends, and insights.
- Develop and maintain data models, dashboards, and reports to track key performance indicators (KPIs) and inform decision-making processes.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Perform data cleansing, transformation, and validation to ensure accuracy and consistency of data.
- Conduct ad-hoc analyses to address specific business questions and provide actionable recommendations.
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- Stay updated on industry trends, best practices, and emerging technologies in data analytics and contribute to continuous improvement initiatives.
- Present findings and insights to stakeholders in a clear and compelling manner through written reports and presentations.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field; Master's degree preferred.
- Proven experience as a Data Analyst or similar role, with a track record of delivering actionable insights and driving business impact.
- Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation.
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- Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
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Preferred Qualifications:
- Experience with cloud-based platforms such as AWS, Google Cloud Platform, or Azure.
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Benefits:
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- Opportunities for professional growth
- Access to cutting-edge technologies
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Job Title: Data Analyst with Python
Experience: 4+ years
Location: Mumbai
Working Mode: Onsite
Primary Skills: Python, Data Analysis of RDs, FDs, Saving Accounts, Banking domain, Risk Consultant, Car Loan Model, Cross-sell model
Qualification: Any graduation
Job Description
1. With 4 to 5 years of banking analytics experience
2. Data Analyst profile with good domain understanding
3. Good with Python and worked on Liabilities (Mandatory)
4. For Liabilities Should have worked on (Saving A/c, FD,RD) (Mandatory)
5. Good with stakeholder management and requirement gathering
6. Only from banking industry
Company Profile:
The company is World's No1 Global management consulting firm.
Job Qualifications
Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
2-5 years of relevant experience
Adept in forecasting, regression analysis and segmentation work
Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
Excellent time management skills
Good written and verbal communication skills; understanding of both written and spoken English
Strong interpersonal skills
Ability to act autonomously, bringing structure and organization to work
Creative and action-oriented mindset
Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
Ability to work under pressure and deliver on tight deadlines
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Job Description:
We are looking for a Business Analyst with strong organizational and planning skills and a proven ability to multitask in a fast-paced environment. We are seeking a high level of motivation and a self-starting attitude, and the ability to work with minimal direction and supervision. The ideal candidate will have a metrics/data-driven analytical mindset of constantly measuring success and driving continuous improvement in tools, content, and programs.
Business Analyst Qualifications / Skills:
- Able to exercise independent judgment and take action on it.
- Excellent analytical, and creative problem-solving skills
- Excellent listening, interpersonal, written, and oral communication skills
- Logical and efficient, with keen attention to detail
- Highly self-motivated and directed.
- Ability to effectively prioritize and execute tasks while under pressure.
- Strong customer service orientation
- Experience working in a team-oriented, collaborative environment.
- BE, MBA Preferable.
Responsibilities:
- Data analysis
- Business Insights
- Leadership
- Influence
- Strategy
- Problem structuring
- Project management
We are looking for a Data Analyst that oversees organisational data analytics. This will require you to design and help implement the data analytics platform that will keep the organisation running. The team will be the go-to for all data needs for the app and we are looking for a self-starter who is hands on and yet able to abstract problems and anticipate data requirements.
This person should be very strong technical data analyst who can design and implement data systems on his own. Along with him, he also needs to be proficient in business reporting and should have keen interest in provided data needed for business.
Tools familiarity: SQL, Python, Mix panel, Metabase, Google Analytics, Clever Tap, App Analytics
Responsibilities
- Processes and frameworks for metrics, analytics, experimentation and user insights, lead the data analytics team
- Metrics alignment across teams to make them actionable and promote accountability
- Data based frameworks for assessing and strengthening Product Market Fit
- Identify viable growth strategies through data and experimentation
- Experimentation for product optimisation and understanding user behaviour
- Structured approach towards deriving user insights, answer questions using data
- This person needs to closely work with Technical and Business teams to get this implemented.
Skills
- 4 to 6 years at a relevant role in data analytics in a Product Oriented company
- Highly organised, technically sound & good at communication
- Ability to handle & build for cross functional data requirements / interactions with teams
- Great with Python, SQL
- Can build, mentor a team
- Knowledge of key business metrics like cohort, engagement cohort, LTV, ROAS, ROE
Eligibility
BTech or MTech in Computer Science/Engineering from a Tier1, Tier2 colleges
Good knowledge on Data Analytics, Data Visualization tools. A formal certification would be added advantage.
We are more interested in what you CAN DO than your location, education, or experience levels.
Send us your code samples / GitHub profile / published articles if applicable.
Roles and Responsibilities
- Managing available resources such as hardware, data, and personnel so that deadlines are met.
- Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities
- Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
- Defining validation framework and establish a process to ensure acceptable data quality criteria are met
- Supervising the data acquisition and partnership roadmaps to create stronger product for our customers.
- Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market
- Device self-learning strategies through analysis of errors from the models
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Preferred Technical & Professional expertise
- Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields
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- In-depth knowledge of cloud analytics tools.
- Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes
- Ability to evaluate hardware selection for running ML models for optimal performance
- Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines.
- Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning
- Deep analytical thinking with excellent problem-solving abilities
- Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills.
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About Us
Punchh is the leader in customer loyalty, offer management, and AI solutions for offline and omni-channel merchants including restaurants, convenience stores, and retailers. Punchh brings the power of online to physical brands by delivering omni-channel experiences and personalization across the entire customer journey--from acquisition through loyalty and growth--to drive same store sales and customer lifetime value. Punchh uses best-in-class integrations to POS and other in-store systems such as WiFi, to deliver real-time SKU-level transaction visibility and offer provisioning for physical stores.
Punchh is growing exponentially, serves 200+ brands that encompass 91K+ stores globally. Punchh’s customers include the top convenience stores such as Casey’s General Stores, 25+ of the top 100 restaurant brands such as Papa John's, Little Caesars, Denny’s, Focus Brands (5 of 7 brands), and Yum! Brands (KFC, Pizza Hut, and Taco Bell), and retailers. For a multi-billion $ brand with 6K+ stores, Punchh drove a 3% lift in same-store sales within the first year. Punchh is powering loyalty programs for 135+ million consumers.
Punchh has raised $70 million from premier Silicon Valley investors including Sapphire Ventures and Adam Street Partners, has a seasoned leadership team with extensive experience in digital, marketing, CRM, and AI technologies as well as deep restaurant and retail industry expertise.
About the Role:
Punchh Tech India Pvt. is looking for a Senior Data Analyst – Business Insights to join our team. If you're excited to be part of a winning team, Punchh is a great place to grow your career.
This position is responsible for discovering the important trends among the complex data generated on Punchh platform, that have high business impact (influencing product features and roadmap). Creating hypotheses around these trends, validate them with statistical significance and make recommendations
Reporting to: Director, Analytics
Job Location: Jaipur
Experience Required: 4-6 years
What You’ll Do
- Take ownership of custom data analysis projects/requests and work closely with end users (both internal and external clients) to deliver the results
- Identify successful implementation/utilization of product features and contribute to the best-practices playbook for client facing teams (Customer Success)
- Strive towards building mini business intelligence products that add value to the client base
- Represent the company’s expertise in advanced analytics in a variety of media outlets such as client interactions, conferences, blogs, and interviews.
What You’ll Need
- Masters in business/behavioral economics/statistics with a strong interest in marketing technology
- Proven track record of at least 5 years uncovering business insights, especially related to Behavioral Economics and adding value to businesses
- Proficient in using the proper statistical and econometric approaches to establish the presence and strength of trends in data. Strong statistical knowledge is mandatory.
- Extensive prior exposure in causal inference studies, based on both longitudinal and latitudinal data.
- Excellent experience using Python (or R) to analyze data from extremely large or complex data sets
- Exceptional data querying skills (Snowflake/Redshift, Spark, Presto/Athena, to name a few)
- Ability to effectively articulate complex ideas in simple and effective presentations to diverse groups of stakeholders.
- Experience working with a visualization tool (preferably, but not restricted to Tableau)
- Domain expertise: extensive exposure to retail business, restaurant business or worked on loyalty programs and promotion/campaign effectiveness
- Should be self-organized and be able to proactively identify problems and propose solutions
- Gels well within and across teams, work with stakeholders from various functions such as Product, Customer Success, Implementations among others
- As the stakeholders on business side are based out of US, should be flexible to schedule meetings convenient to the West Coast timings
- Effective in working autonomously to get things done and taking the initiatives to anticipate needs of executive leadership
- Able and willing to relocate to Jaipur post pandemic.
Benefits:
- Medical Coverage, to keep you and your family healthy.
- Compensation that stacks up with other tech companies in your area.
- Paid vacation days and holidays to rest and relax.
- Healthy lunch provided daily to fuel you through your work.
- Opportunities for career growth and training support, including fun team building events.
- Flexibility and a comfortable work environment for you to feel your best.
Job role:
As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.
Job Location: Indore | Full-Time Internship | Stipend - Performance Based |
About the company:
Anaxee Digital Runners is building India's largest last-mile verification & data collection network of Digital Runners (shared feet-on-street, tech-enabled) to help Businesses & Consumers reach remotest parts of India, on-demand. KYC | Field Verification | Data Collection | eSign | Tier-2, 3 & 4
Sounds like a moonshot? It is. We want to make REACH across India (remotest places), as easy as ordering pizza, on-demand. Already serving 11000 pin codes (57% of India) | Website: www.anaxee.com
Important: https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">Check out our company pitch (6 min video) to understand this goal - https://www.youtube.com/watch?v=7QnyJsKedz8" target="_blank">https://www.youtube.com/watch?v=7QnyJsKedz8
Responsibilities:
- Ensure that data flows smoothly from source to destination so that it can be processed
- Utilize strong database skills to work with large, complex data sets to extract insights
- Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
- Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
- Build tools for automating repetitive tasks so that bandwidth can be freed for analytics
- Collaborate with program managers and business analysts to help them come up with actionable, high-impact insights across product lines and functions
- Work closely with top management to prioritize information and analytic needs
Requirements:
- Bachelors or Masters (Pursuing or Graduated) in a quantitative field (such as Engineering, Statistics, Math, Economics, or Computer Science with Modeling/Data Science), preferably with work experience of over [X] years.
- Ability to program in any high-level language is required. Familiarity with R and statistical packages are preferred.
- Proven problem solving and debugging skills.
- Familiar with database technologies and tools (SQL/R/SAS/JMP etc.), data warehousing, transformation, and processing. Work experience with real data for customer insights, business, and market analysis will be advantageous.
- Experience with text analytics, data mining and social media analytics.
- Statistical knowledge in standard techniques: Logistic Regression, Classification models, Cluster Analysis, Neural Networks, Random Forests, Ensembles, etc.