Sr BI Analyst / Lead BI Analyst

Responsibilities

• Work with large and complex blockchain data sets and derive investment relevant metrics in close partnership with financial analysts and blockchain engineers.
• Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various crypto assets.
• Build a strong understanding of existing metrics used to value various decentralized applications and protocols.
• Build customer facing metrics and dashboards.
• Work closely with analysts, engineers, Product Managers and provide feedback as we develop our data analytics and research platform.

Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science)
• 3+ years experience with data analysis and metrics development
• 3+ years experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• 2+ years experience writing SQL queries
• 2+ years experience scripting in Python
• Demonstrated curiosity in and excitement for Web3/blockchain technologies

As a Manager in our Performance Marketing team, you will be responsible for driving growth of APAC & North America regions through digital marketing. This team is a key driver of growth for Headout and is responsible for acquiring customers and generating demand for our vast collection of experiences and destinations. This is a key role for our overall company growth and profitability. 

As Performance Marketing Manager, you will: 

1. 1. Manage all paid user acquisition channels for APAC & North America. This includes: Responsible to deliver ROI & GBV targets for your regions and growing these each quarter
2. Actively manage and grow SEM campaigns for new and existing categories &  markets
3. Identify opportunities to scale existing channels of user acquisiton including SEM, OLA and Facebook d. Develop new channels of user acquisition to drive new growth and diversify channel-mix 
4. Improve the efficiency of the team through process improvements, decision making frameworks and automation 
5. Improve reporting and data analysis to uncover new opportunities or Coordinate with other teams such as product, data, operations & supply to participate in & lead company-wide growth projects by leveraging various levers like: 

• Identifying new market opportunities 
• Product enhancements 
• Pricing strategy 
• Competitive benchmarking 
• Building stronger engagement loops and cross-channel campaign strategies 

What we're looking for: 

• 4+ years of experience in managing SEM campaigns at scale 
• 2+ years of experience in managing a team 
• Detail-oriented and analytical 
• Strong learning curve 
• Data-driven decision making 
• Able to effectively organize, prioritize & manage their time 
• Experience with Automations is a big plus 

Job Title – Data Scientist (Forecasting)

Anicca Data is seeking a Data Scientist (Forecasting) who is motivated to apply his/her/their skill set to solve complex and challenging problems. The focus of the role will center around applying deep learning models to real-world applications.  The candidate should have experience in training, testing deep learning architectures.  This candidate is expected to work on existing codebases or write an optimized codebase at Anicca Data. The ideal addition to our team is self-motivated, highly organized, and a team player who thrives in a fast-paced environment with the ability to learn quickly and work independently.

Job Location: Remote (for time being) and Bangalore, India (post-COVID crisis)

• At least 3+ years of experience in a Data Scientist role
• Bachelor's/Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or similar quantitative discipline. D. will add merit to the application process
• Experience with large data sets, big data, and analytics
• Exposure to statistical modeling, forecasting, and machine learning. Deep theoretical and practical knowledge of deep learning, machine learning, statistics, probability, time series forecasting
• Training Machine Learning (ML) algorithms in areas of forecasting and prediction
• Experience in developing and deploying machine learning solutions in a cloud environment (AWS, Azure, Google Cloud) for production systems
• Research and enhance existing in-house, open-source models, integrate innovative techniques, or create new algorithms to solve complex business problems
• Experience in translating business needs into problem statements, prototypes, and minimum viable products
• Experience managing complex projects including scoping, requirements gathering, resource estimations, sprint planning, and management of internal and external communication and resources
• Write C++ and Python code along with TensorFlow, PyTorch to build and enhance the platform that is used for training ML models

Preferred Experience

• Worked on forecasting projects – both classical and ML models
• Experience with training time series forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as Feed-forward NN and Nonlinear Autoregressive
• Strong background in forecasting accuracy drivers
• Experience in Advanced Analytics techniques such as regression, classification, and clustering
• Ability to explain complex topics in simple terms, ability to explain use cases and tell stories

• Act as primary day-to-day contact on analytics to agency-client leads
• Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
• Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
• Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
  
• Ensure data quality and integrity
  
• Interpret and analyse data problems
  
• Build analytic systems and predictive models
  
• Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
  
• Visualize data and create reports
  
• Experiment with new models and techniques
  
• Align data projects with organizational goals

• Min 6 - 7 years’ experience working in Data Science
• Prior experience as a Data Scientist within a digital media is desirable
• Solid understanding of machine learning
• A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
• Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
• A knack for statistical analysis and predictive modelling
• Good knowledge of R, Python
• Experience with SQL, MYSQL, PostgreSQL databases
• Knowledge of data management and visualization techniques
• Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
• Evidence of technical comfort and good understanding of internet functionality desirable
• Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
• Proactive and results-oriented
• A positive, can-do attitude with a thirst to continually learn new things
• An ability to work independently and collaboratively with a wide range of teams
• Excellent communication skills, both written and oral

Responsibilities:

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks

Requirements:

• Experience leading development efforts through all phases of SDLC.
• 5+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Team handling preferred for 5+yrs experience candidates.
• Notice period less than 30 days.

Job Description:

• Understand business model and create project roadmap. Break down the big requirements into smaller chunks and prioritize as per the business outcome
• Actively work with product and technology team in a seamless manner
• Coordinate with the User Experience team to design the final intuitive UI and define the overall tech solution along with the IT team
• Leading project planning sessions
• Managing project progress and adapt work as required
• Ensuring projects meet deadlines
• Managing relationships with clients and stakeholders
• Conducting project review and creating detailed reports for executive staff
• Optimizing and improving processes and the overall approach where necessary
• Create User Journey as per Business expectations along with well-defined user cases, wire frames and workflow diagram
• Own the overall product and feature development projects

• Analyse user data & develop innovative growth hacks to drive user growth and engagement via all channels

Requirement / Desired Skills:

• Proven ability to lead, collaborate with cross-functional teams and manage interactions across Project life Cycle
• Hands on experience in creating user stories, user journey wire frames and workflow and defining acceptance criteria and success matrix
• Strong product design skills from both a technical API integration and user interface design perspective
• Excellent Project Management skills and experience working in Agile fashion
• Excellent communication skills to handle both executive-level discussions as well as functional/technical deep dives
• Demonstrate analytical and quantitative skills over performance matrices such as engagement, retention, conversion funnel, etc.

• Experience in a fin-tech domain is a plus.

Profile Description:

The job holder will work with developers and the IT staff to oversee the code releases, combining an understanding of both engineering and coding. From creating and implementing systems software to analyzing data to improve existing ones, a DevOps Engineer increases productivity in the workplace.

Key Responsibilities:

• Understanding customer requirements and project KPIs
• Implementing various development, testing, automation tools, and IT infrastructure
• Planning the team structure, activities, and involvement in project management activities.
• Managing stakeholders and external interfaces
• Setting up tools and required infrastructure
• Defining and setting development, test, release, update, and support processes for DevOps operation
• Have the technical skill to review, verify, and validate the software code developed in the project.
• Troubleshooting techniques and fixing the code bugs
• Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
• Encouraging and building automated processes wherever possible
• Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
• Incidence management and root cause analysis
• Coordination and communication within the team and with customers
• Selecting and deploying appropriate CI/CD tools
• Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
• Mentoring and guiding the team members 
• Monitoring and measuring customer experience and KPIs
• Managing periodic reporting on the progress to the management and the customer