Decision Analyst

Barclays

Dadri

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Job summary

A global financial services provider is seeking a Decision Analyst to lead the development of decision models and actionable insights from complex data sets. This full-time role based in Noida requires expertise in data mining, machine learning, and strong communication skills. Responsibilities include extracting data, performing analyses, and influencing decision-making across departments. Ideal candidates will possess a blend of technical and storytelling abilities to drive business success.

Qualifications

Experience in data mining and building predictive & machine learning models.
Understanding of machine learning algorithms and their applications.
Experience in the data science project life cycle.

Responsibilities

Extract relevant data from various internal and external sources.
Perform sensitivity analysis and scenario planning.
Build and validate quantitative models to support decision-making.

Skills

Data mining

Machine learning

Python

SQL

Communication

Storytelling

Problem solving

Job description

Join to apply for the Decision Analyst role at Barclays

Join us as a Decision Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings ensuring unapparelled customer experiences.

BUK Decision and Analytics team exist to harness the power of our data, using advanced analytics and data science, to deliver assets, that drive the performance of the bank, enabling smarter, faster, and more proactive decision making, and using information to transform the lives of our customers, colleagues, and the communities we live in, whilst protecting the sustainable advantage our data creates. This team gives an opportunity to work directly with business heads and influence their decision making through use of advanced analytics and data science to solve complex business problems.

To be a successful Decision Analyst you should have experience with:

Experience in data mining and building predictive & machine learning models using both structured and unstructured data.
Understanding of machine learning algorithms and their applications.
Experience in Data science project life cycle from use case framing, data exploration, model building, deployment etc.
Knowledge of Python & SQL.

Some Other Highly Valued Skills May Include

1.Strong communication skills.
2.Good in storytelling.
3.Good at problem solving skills.

You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

Job location of this role is Noida.

Purpose of the role

To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments.

Accountabilities

Identification and extraction of relevant data from various internal and external sources.
Performing sensitivity analysis and scenario planning.
Monitoring and evaluation of the performance of existing models.
Development and implementation of data quality control procedures.
Building and validation of quantitative models to support decision-making across different business areas.

Analyst Expectations

To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
Requires in-depth technical knowledge and experience in their assigned area of expertise
Thorough understanding of the underlying principles and concepts within the area of expertise
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members and communicate complex / sensitive information.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Seniority level