IND (New) Senior Data Scientist - DM

Hyderabad, Telangana, India | Data Management | Full-time

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Quantium

In everyday life, data forms the backbone of every decision we make, every lesson we learn and every direction we choose. Better data, better decisions, better outcomes. But it is so much more than just numbers and technology. It’s what we know, unearthing ideas to solve problems and grasping opportunities that could change the world. Quantium is a global leader in the application of big data analytics to help our clients solve their most important problems.

We started out as a data analytics firm, helping businesses make better decisions. Since then we have grown into a partner to businesses that have the ambition to lead their industries. We help our clients navigate the complex world of data, analytics and technology to deliver powerful insights with clear business applications. We solve commercial problems to improve client efficiency, customer experience and profit. Our most advanced analytics solutions deliver insights that underpin significant investment and strategic decision making for our clients.

We are using technology that pushes our products to the limit and developing tools and applications to solve problems in ways that nobody else has. We are working with pioneering open source technology and solving client opportunities worth tens if not hundreds of millions of dollars. Our people are passionate about data. They are smart, innovative and motivated to identify and solve new and interesting client problems.  

Joining Quantium enables learning from the best people in Australia in big data analytics and machine learning, having access to the best data sources and the opportunity to solve the most interesting client problems.

 

Role summary

The Senior Analyst, Foundational Analytics role is a technical contributor and task management role within a cross-functional team accountable for the delivery of a data products roadmap. Working together with the Analytics Lead, analysts and other technical specialists from analytics and software engineering disciplines, the Senior Analyst will be responsible for the design and specification of analytics that forms part of the core solution offered by Quantium foundational analytics.

 

Key responsibilities

·         Accountable for the delivery of advanced analytics solutions into Quantium’s core data assets

·         Develop and execute roadmap for the ongoing development of our foundational data assets

·         Project management including overseeing and delegating technical tasks amongst analysts

·         Code review and quality assurance of output produced by analysts

·         Support the Analytics Lead with analytics architecture and solution design

Responsibility

Expected proportion of time

Project management and stakeholder management

30%

Code review and quality assurance

40%

Data, coding, analytics

30%

 

 

Key activities

·         Set and manage roadmap for one foundational data asset including weighting, data curation, customer segmentation and other foundational analytics with the support of Analytics Lead

·         Acting as business liaison to relate consulting requirements into data product specification for assigned sections analytics efforts

·         Delivery of tasks to support a data products roadmap and BAU tasks, working in a cross-functional team managed by Analytics Lead

·         Leading assigned sections of analytics solution design with minimal guidance (e.g. foundational analytics, descriptive analytics, product analytics etc)

·         Creation of analytics approaches to solve business problems in a scalable and repeatable way

·         Design, development or testing of an analytics algorithm, including prototyping

·         Writing the specifications for an analytics algorithm to be implemented by software engineers

·         Peer reviewing the work of other analysts (both conceptual and documentation)

·         Carrying out a process required for BAU delivery of any aspect of the data product that needs regular production

·         Investigating objections or issues raised by users.

·         Following and instilling in junior team members the best practice guidelines, tools and formal processes for analytics practised at Quantium

·         Liaising with users of the data products, predominantly internal, to respond to queries and objections, and communicate updates relating to delivery of new features and BAU

·         Providing estimates of work effort, timeframes and costings for analytics tasks. Peer reviewing estimates developed by team members

·         Taking active steps to continuously improve own performance and drive own career development, requesting assistance as required

·         Taking active steps to drive improvement in the knowledge, capability level and quality of work of Associate Analysts and Analysts in own team

Experience and education required

To be successful in this role the key competencies required include:

 

·         Sound knowledge of technical analytics discipline, including data preparation, experiment design, feature engineering and foundational analytics concepts, descriptive analytics

·         Some specialisation is assumed – not every Senior Analyst will be conversant in every discipline, but should aim to have:

o    sufficient skills in several disciplines or techniques to autonomously apply without the need for material guidance or revision by others; and

o    sufficient skills in at least one discipline or technique to be an authoritative source of guidance and support for the team, and to be able to solve problems of a high technical complexity in this domain

·         Sound knowledge of one or more technical tools and coding languages that are used for analytics

o    A broad range is used at Quantium and the concepts are transferable, so we do not require a specific set of tools

o    However, some tools and programming languages that might qualify include (in no particular order): R, Python, SQL, Scala, Haskell, SAS, MATLAB, S-Plus, C/C++, Perl

·         Strong problem-solving skills, including ability to apply a systematic problem-solving approach

·         Solid interpersonal skills, as the role will need to work in a cross-functional team with both other analysts and specialists from non-analytics disciplines

·         Solid client and stakeholder management skills

·         Ability to autonomously carry out work following analytics best practice as defined at Quantium for the relevant types of tools or techniques, suggesting improvements where appropriate

·         Ability to motivate peers to follow analytics best practice as defined at Quantium, by positively presenting the benefits and importance of these ways of working

·         Commercial acumen to understand business needs and the commercial impacts of different analytics solutions or approaches

·         Attention to detail

·         Drive for continuous improvement

·         5-7 years’ experience in a highly technical analytics environment, carrying out data analytics or data science work

·         Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline

What does success look like?

After 3 months in the role the incumbent will:

·         be knowledgeable and able to speak confidently about Quantium’s data assets and methodologies

·         be across all the processes required to deliver against the role

·         be able to task manage the team autonomously

After 12 months in the role the incumbent will:

·         be building advanced analytical solutions into scalable data products for multiple purposes, for both product and consulting stakeholders

·         define and review methodologies, code and deliverables in line with the data product roadmap and analytical frameworks

·         Significantly contributing to Quantium’s data product development

 

Key business capabilities required

1.     Data Discovery: Ability to explore the availability, suitability and compatibility of available data and assess the viability of the project/product

2.     Data Quality Assessment: Assess the fitness/ quality of the data to serve its business or operational purpose for Quantium or its clients

3.     Data Manipulation: Manipulate data effectively to improve its functional application, useability, interconnectivity, or quality

4.     Method Selection: Choose the appropriate type of analytics or modelling to best solve the problem, given all inputs and prescribed outputs

5.     Insight Generation: Convert information into meaningful, actionable recommendations for Quantium's clients and partners

 

Key People and leadership capabilities required

1.     Self-aware: You have a clear perception of yourself, you take responsibility for your actions and you accept others without biases

2.     Agile & innovative: You act decisively, think nimbly, and you look for creative ways to deliver better results

3.     Achieve & perform: You have high standards of excellence and consistently deliver great results for our clients

4.     Brand advocate: You believe in what we do and speak positively about Quantium

5.     Alignment: You mobilise yourself and others towards our future direction and strategy

6.     Achievement oriented: You contribute to a culture of high performance and seek opportunities to make a difference

7.     Grow others: You naturally look to unlock the potential of yourself and others