I am looking for Mulesoft Developer for a reputed MNC
Experience: 6+ Years
Relevant experience: 4 Years
Location : Pune, Mumbai, Bangalore, Indore, Kolkata
Skills:
Mulesoft
Experience: 6+ Years
Relevant experience: 4 Years
Location : Pune, Mumbai, Bangalore, Indore, Kolkata
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We are seeking a highly skilled and experienced Director of Growth to lead our company's growth initiatives and drive measurable results across various marketing channels. The ideal candidate will have a proven track record in performance marketing. Experience in brand building & influencer marketing is a huge plus.
As the Director of Growth, you will be responsible for developing and executing strategies to acquire paid customers and improve ROAS to maximize revenue growth across multiple channels.
About the product which needs to be sold:
- English proficiency is an aspiration for the majority of the Indian population, yet access to quality English learning resources remains limited.
- Our spoken English product aims to address this gap by offering a 24/7 AI tutor accessible to anyone with a mobile device at an extremely affordable price.
- This is an affordable offering (<Rs.5000 ticket size) targeting the masses.
- This product has the potential to transform the lives of hundreds of millions of people by granting them access to a top-notch English tutor.
Desired Previous Experience:
First-principled problem-solving experience across growth functions at fast-paced hyper growth startups.
At Supernova we sell affordable products to the masses, Experience selling to mainstream India and not just the top 5% is preferred.
Ours is also a low LTV product (<10k LTV) so we need our CACs to be at Rs.1000 or so, which is where we are today. So knowing how to target the masses and get conversions at low CACs and good ROAS is preferred.
Experience in handling performance marketing channels - Facebook Ads, Google Ads, etc., preferably in an Edtech startup.
Experience in working with influencers and running high quality influencer marketing campaigns for brand building and acquisition will be preferred, though not mandatory.
Experience in developing content and content marketing strategies to build a brand and get leads via social media channels like Facebook, Instagram, LinkedIn and others to drive growth.
Experience with brand building: Linked in posts of founders, Product videos to create excitement will be preferred, though not mandatory.
Familiarity with Whatsapp-based growth strategies and funnels will be preferred, though not mandatory.
Experience in offline marketing and working with tier 2 & 3 consumers will be preferred, though not mandatory.
Roles and Responsibilities:
Develop and execute a comprehensive growth strategy:
Collaborate with the executive team to define growth goals and objectives.
Identify key performance marketing channels, including Facebook Ads, Google Ads, and others, to drive customer acquisition and revenue growth.
Create and implement data-driven strategies to optimize campaign performance, conversion rates, and return on investment (ROI).
Performance marketing and advertising:
Oversee and manage all performance marketing channels, including Facebook Ads and Google Ads, to drive targeted traffic, conversions, and revenue growth.
Develop and implement A/B testing strategies to optimize campaign performance and improve key metrics such as click-through rates (CTR), cost per acquisition (CPA), and return on ad spend (ROAS).
Analyse campaign data, generate insights, and provide recommendations for ongoing optimization and improvement.
Brand building and positioning:
Develop and execute brand-building strategies to enhance brand awareness, perception, and customer loyalty.
Work closely with the marketing and creative teams to ensure brand consistency across all touch points, including advertising campaigns, social media channels, and content marketing initiatives.
Monitor industry trends, market competition, and customer preferences to inform brand positioning and differentiation strategies.
Influencer marketing and partnerships:
Identify and collaborate with relevant influencers, bloggers, and industry partners to drive brand awareness, reach new audiences, and generate meaningful engagement.
Develop and manage influencer marketing campaigns, including negotiation, contract management, and performance tracking.
Track and analyse the effectiveness of influencer campaigns and partnerships, making data-driven decisions for future collaborations.
Social media management: (Not mandatory but a good to have)
Oversee the company's social media presence across various platforms, including content strategy, community management, and engagement.
Monitor social media performance, analyze metrics, and generate insights to optimize content strategy and drive engagement and growth.
Stay up-to-date with social media trends, platform updates, and emerging technologies to leverage new opportunities for growth.
KPIs:
Reducing Customer Acquisition Costs
Revenue Growth
User Growth
Application Integration Engineer - HR/Payroll
Skills:
· Experience on HR Payroll SaaS
o HR/Payroll applications: Ideally UKG, multiple others ok
o Financial applications: ideally knowledge of how HR/Payroll systems interact with ERPs (ideally NetSuite), and other personnel expenses (i.e., Expensify, Concur)
· Knowledge of various Integrations approaches:
o Native connectors
o SFTP files
o API – schema, design
· Knowledge of multiple coding languages: Java script, XML, REST, SOAP etc.
· Ability to work with data bases (ideally SQL, Oracle, PostgreSQL), including ETL
· Some knowledge of Azure services, mainly SQL and Oracle databases, storage, analytics
· Experience working with global teams
· Ability to overlap some work hours with US EST/CT time
· Solid communication skills
· Proactive, takes initiative, out-spoken
Experience
· 5-8 of years
About Company:
Our client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.
Role and Responsibilities:
• Trading, Broking & risk profiling of client along with technical and fundamental understanding.
• Coordination with different department (RMS, Risk, Compliance, Sales) for smooth processing of transaction.
• Generation of brokerage
· Build up strong expertise in Capital Markets dynamics, financial derivative Instruments, their valuation and trade execution aspects
· Contribute in various front office related projects, upgrading the Derivative Systems Infrastructure
· Recommending thematic strategic trade ideas (working cross asset where required).
Requirements:
• Graduate and above
• Minimum 2-5 years of Experience in Handling FII / Domestic Clients
• Excellent knowledge on Arbitrage / Special Situation Trades / Derivatives
• Should have thorough understanding of Dividends and other Corporate Actions
• Should have good understanding of Algos for Execution
• Good at Excel, Bloomberg, Omnesys Functionality
• Ability to handle large volumes with a lean team structure
• Good Connects to Source blocks
• Good Communication Skills is a must.
Required Skill Set-
Project experience in any of the following - Data Management,
Database Development, Data Migration or Data Warehousing.
• Expertise in SQL, PL/SQL.
Role and Responsibilities -
• Work on a complex data management program for multi-billion dollar
customer
• Work on customer projects related to data migration, data
integration
•No Troubleshooting
• Execution of data pipelines, perform QA, project documentation for
project deliverables
• Perform data profiling, data cleansing, data analysis for migration
data
• Participate and contribute in project meeting
• Experience in data manipulation using Python preferred
• Proficient in using Excel, PowerPoint
-Perform other tasks as per project requirements.
- Writing, editing and publishing engaging, compelling and trending posts for social media networks (e.g. Facebook, Instagram, Linkedin and Twitter)
- Proofread the content for grammar, punctuation and spelling.
- Create monthly content calendars and take approval from clients.
- Maintain content hygiene of the social media pages.
- Tracking and reporting on social media insights (e.g. traffic, engagement, conversion rates, shares etc.)
- You will be responsible for establishing and nurturing strong relationships with clients. This involves regular communication, understanding their needs
Requirements
- Experience: Fresher
- Ability to create innovative social media content, supported by relevant images and videos
- Creative thinking and Creative Writing skills.
- Proficiency in English
- Strong verbal as well as written communication skills
- Exceptional time-management and organizational skills
- A keen eye for details
Job Type: Fresher
Salary: ₹20,000.00 - ₹25,000.00 per month
Schedule:
- Morning shift
Expected Start Date: 17/04/2023
Duties and Responsibilities:
Research and Develop Innovative Use Cases, Solutions and Quantitative Models
Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
Provide R&D support to productize research prototypes.
Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
Team Management Skills
Academic Qualification
7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
Innovative and creative in data analysis, problem solving and presentation of solutions.
Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
Strong experience in handling multi-national client engagements
Good verbal, writing & presentation skills
Core Expertise
Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like SQL
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques.
Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
Capability for continuous learning and knowledge acquisition.
Mentor colleagues for growth and success
Strong Software Engineering Background
Hands-on experience with data science tools
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
- data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Locus is a global decision- making platform in the supply chain that uses deep learning and proprietary algorithms to provide route optimization, real-time tracking, insights and analytics, beat optimization, efficient warehouse management, vehicle allocation and utilization, intuitive 3D packing and measurement of packages. Locus automates human decisions required to transport a package or a person, between any two points on earth, delivering gains along efficiency, consistency, and transparency in operations.
Locus, which has achieved a peak of 1 million orders processed in a day (200,000 orders an hour) and is trained & tested on over 100 million+ order deliveries, works in 75 cities across the globe. Locus works with several large-scale market leaders like Urban Ladder, Tata Group of Companies, Droplet, Licious, Rollick, Lenskart, other global FMCG, pharma, e-commerce, 3PL and logistics conglomerates.
Locus is backed by some of the biggest names in the market and recently raised $22 MN in Series B funding and also $4 Mn in a pre-Series B round. Earlier, In 2016, Locus raised $2.75 Mn (INR 18.3 Cr) in a Series A funding.
Locus was started by Nishith Rastogi and Geet Garg, two ex-Amazon engineers on a mission to democratize logistics intelligence for businesses across industries. Nishith was profiled by Forbes Asia in their ’30 Under 30’ 2018 list. Geet, on the other hand, holds a dual degree (BTech and MTech) in Computer Science and Engineering from the Indian Institute of Technology. Our team constitutes of engineers from Indian Institute of Technology and Birla Institute of Technology & Science- Pilani, and Data Scientists with PhDs from Carnegie Mellon University and Tata Institute of Fundamental Research. Our multifaced product and business team is led by senior members from Barclays, Google & Goldman Sachs with immense operational execution experience.
Job Description
- Design & implement backend APIs at Locus.sh
- Mentor junior developers technically.
- Actively work to reduce tech debt in the Locus backend
- Work towards more stability & scalability of the backend
- Tech stack - Java, AWS, Aurora etc.
Eligibility
- 4-8 years of product company experience
- OOP implementation experience. Programming language does not matter, We use Java internally but have hired folks from non Java background.
- Hands on experience in SQL, Dynamo DB, Postgres etc preferred.
- Prior experience building REST APIs
- Advanced understanding of AWS stack
- Prior knowledge of solving problems at scale.
Perks:
- Healthy catered meals at office
- You decide your own Work From Home (WFH) and Out Of Office (OOO)
- Pet-friendly - bring your pets to the office any day. Locus family already has a Rottweiler and a Beagle
Responsibilities::
• Plan and execute all digital marketing strategy including SEO/SEM, marketing database, email, social media and campaign management for Tactic Solutions
• Responsible to generate the inbound lead for our IT services.
• Design, build and maintain our social media presence
• Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
• Brainstorm new and creative growth strategies Plan, execute, and measure experiments and conversion tests
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Website management using Google Webmaster & Analytics
• SEO, SEM, SMM activities including Blogs and articles
• Preparing detailed strategy reports
• Identifying powerful keywords to drive the most valuable traffic
• Filling websites and other content with effective keywords
• Writing effective SEO content for blogs, websites and social media accounts
• Developing link building strategies
• Analysing keywords and SEO techniques used by competitors
• Compiling and presenting SEO guidelines
• Perform competitive analysis and identify gaps in our content or areas of improvement in our web design
• Track important SEO metrics including organic traffic, conversion rates and time spent on page
• Report on performance metrics comparing them to our SEO goals and benchmarking data
• Follow SEO trends and stay up-to-date with new tools and practices
Skills::
• MARKETING STRATEGY
• SEO
• SMO
• DIGITAL MARKETING
• SOCIAL MEDIA
• MARKET RESEARCH
• SOCIAL STUDIES
Website - https://praxinfo.com/">https://praxinfo.com/