Customer Success Manager

REQUIRED SKILLS

● Strong Portfolio: Demonstrated design skills across both print and digital

medium with a robust portfolio showcasing your work.

● Proficiency in Design Tools: Expertise in Adobe Creative Suite (Photoshop,

Illustrator, InDesign) and other relevant design software.

● Design Leadership: Ability to guide the overall design effort and ensure

consistency across all projects.

● Attention to Detail: A keen eye for detail with a deep understanding of

typography, color theory, and layout design.

● Project Management: Experience in leading design projects from concept to

completion.

● Collaboration Skills: Ability to work effectively with cross-functional teams

and communicate ideas clearly.

● Trend Awareness: Passion for staying current with the latest design trends

and tools.

• Study design briefs and determine requirements.
• Schedule projects and define budget constraints .
• Conceptualize visuals based on requirements.
• Prepare rough drafts and present ideas.
• Develop illustrations, logos and other designs.
• Using software or by hand Use the appropriate colors and layouts for each graphic.
• Work with copywriters and creative director to produce final design.
• Test graphics across various media
• Amend designs after feedback.
• Ensure final graphics and layouts are visually appealing and on-brand

Requirements and skills

• Proven graphic designing experience.
• A strong portfolio of illustrations or other graphics.
• Familiarity with design software and technologies (such as InDesign, Illustrator, Dreamweaver, Photoshop)
• A keen eye for aesthetics and details.
• Excellent communication skills.
• Ability to work methodically and meet deadlines
• Degree in Design, Fine Arts or related field is a plus

Greetings from Analyttica Datalab. We are currently seeking an Analytics Manager to join our team!

If you are looking for a place to grow your skills and share our values this can be the right opportunity for you.

• Role: Analytics Manager
• Relevant Experience: 7-9 Years
• Type of Role: Full-Time
• Notice Period:1 Month or Less (Immediate Joiners-Preferred)
• Mandatory Skills: Data Analytics, Marketing Analytics, A/B Testing, SQL, Logistic Regression, Segmentation, Customer Analytics, Fintech, Python
• Work Location: Bangalore

About Us

We are fast growing technology enabled advanced analytics and data science start-up. We have clients in USA and India and those two geographies are our current market focus. We are developing

an Artificial Intelligence (AI) embedded data science and analytics product platform (patented in US) with a series of offerings to solve real world problems. We have a world-class team of in-house

technocrats, external consultants, SMEs, data scientists, and experienced business professionals driving the product journey.

What Can You Expect?

Along with the commercial aspects of the engagement (no bar for the right candidate), you can expect an agile environment, with progressive culture and state of the art workplace. You will be presented with a great learning opportunity, while interacting with people from diverse background with the depth and breadth of experiences. Our technical, SME, and business leadership team comprises of each professional with 15+ years of experience and strong credibility to their names.

What Role You Are Expected To Play?

As a Product Analytics Manager focused on growth, you’ll be responsible for guiding the Product Analytics feature and experimentation roadmap which may include but is not limited to go-to-market strategy for partnerships and application of analytics for optimizing the acquisition funnel strategy for our client. Specifically,

you will be responsible for driving higher originations by converting web and app visitors to long-term customers.

Roles and Responsibilities:

• Ability to work hands-on on the top prioritized and strategic initiatives to drive business outcomes.
• Lead and mentor a team of sr. analysts and analysts, fostering a culture of collaboration and data-driven decision-making.
• Work closely with US stakeholders and manage expectations on project delivery, team management and capacity management.
• Develop and implement measurement strategies across marketing and product initiatives, ensuring data accuracy and integrity.
• Conduct in-depth analyses of marketing and product performance, identifying key trends, opportunities, and areas for improvement.
• Design and execute A/B tests to optimize marketing campaigns and product features.
• Prior experience in lifecycle marketing and product cross-selling is preferred.
• Develop and maintain dashboards and reports to track key metrics and provide actionable insights to stakeholders.
• Collaborate closely with cross-functional teams (marketing, product, engineering) to understand business needs and translate data into actionable recommendations.
• Stay up to date on industry trends and best practices in analytics and data management.
• Own the delivery in-take, time management and prioritization of the tasks for your team, leveraging JIRA
• Prior experience working for a US based Fintech would be preferred.

Essential Experience and Qualification:

• Minimum 7 years of experience in marketing and/or product analytics.
• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics). Master's degree is a plus.
• Proven expertise in SQL and data management.
• Hands-on experience with Python and advanced analytics techniques (e.g., regression analysis, classification techniques, predictive modeling).
• Hands-on experience with data visualization tools (e.g., Tableau, Looker).
• Hands-on exposure to Git & JIRA for project management.
• Strong understanding of A/B testing methodologies and statistical analysis.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage multiple projects and deadlines effectively.
• Coach and mentor team members on refining analytical approach, time management & prioritization.
• Prior experience working in a fast paced environment and working with US stakeholders

People & Culture

As a company, we believe in working hard and

letting our passion drive us to dream high and

achieve higher. We inspire innovation through

freedom of thought and creativity, and pursue

excellence while ensuring that our integrity

and ethical foundation remain strong.

Honesty, determination, and perseverance

form the core of our value system. Analyttica’s

versatile talent fulfils our value proposition by

taking on fresh challenges and delivering

solutions that blend skill and intuition (science

and art). Understanding the customer/partner

mindset helps us provide technology enabled

scientific solutions at scale for sustainable

business impact.

Industry

Job Description

1. Solid technical skills with a proven and successful history working with data at scale and empowering organizations through data
2. Big data processing frameworks: Spark, Scala, Hadoop, Hive, Kafka, EMR with Python
3. Advanced experience and hands-on architecture and administration experience on big data platforms

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users

• Has experience of working in a graphics environment, to a brief and delivering to deadlines with some evidence of design management capability
• Familiarity with best practices for graphics and video content on social media platforms (YouTube, LinkedIn, Facebook, Twitter, Instagram)
• Should optimize existing graphics and video content
• Use of Microsoft Office, Dropbox, and G Suite.
• Has advanced knowledge of Adobe Creative Suite (mainly InDesign, Illustrator, Premiere, and Photoshop)

Candidate Specification

• A strong portfolio of illustrations or other graphics.
• A keen eye for aesthetics and details.
• Communication skills.
• A degree in Design, Fine Arts, or a related field is a plus.
• Is self-starting, highly motivated, and hands-on
• Creativity and awareness of current design trends
• Can manage time efficiently, able to prioritize, works fast and accurately to meet tight deadlines

JD:
Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

Thorough understanding of React.js and its core principles

Experience with popular React.js workflows (such as Flux or Redux)

Familiarity with newer specifications of EcmaScript

Knowledge of isomorphic React is a plus

Familiarity with RESTful APIs

Knowledge of modern authorization mechanisms, such as JSON Web Token

Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

Ability to understand business requirements and translate them into technical requirements

A knack for benchmarking and optimization

Familiarity with code versioning tools such as Git